Standard Deviation Quotes

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If you want to make money at some point, remember this, because this is one of the reasons startups win. Big companies want to decrease the standard deviation of design outcomes because they want to avoid disasters. But when you damp oscillations, you lose the high points as well as the low. This is not a problem for big companies, because they don't win by making great products. Big companies win by sucking less than other big companies.
Paul Graham (Hackers & Painters: Big Ideas from the Computer Age)
Just as it did in the nineteenth century, the notion that the victims were 'only prostitutes' seeks to perpetuate the belief that there are good women and bad women; madonnas and whores. It suggests that there is an acceptable standard of female behaviour and those that deviate from it are fit to be punished. Equally, it assists in reasserting the double standard , exonerating men from wrongs committed against such women. These attitudes may not feel as prevalent as they were in 1888, but they persist - not proffered in general conversation... but, rather integrated subtly into the fabric of our social norms.
Hallie Rubenhold (The Five: The Lives of Jack the Ripper's Women)
for every standard deviation increase in cloud cover on the day of the college visit, a student is 9 percent more likely to actually enroll in that college.
Maria Konnikova (Mastermind: How to Think Like Sherlock Holmes)
Women tend to sit further forward than men when driving. This is because we are on average shorter. Our legs need to be closer to reach the pedals, and we need to sit more upright to see clearly over the dashboard.49 This is not, however, the ‘standard seating position’. Women are ‘out of position’ drivers.50 And our wilful deviation from the norm means that we are at greater risk of internal injury on frontal collisions.51
Invisible Women: Data Bias in a World Designed for Men
However, I hope to have made clear that white supremacy is something much more pervasive and subtle than the actions of explicit white nationalists. White supremacy describes the culture we live in, a culture that positions white people and all that is associated with them (whiteness) as ideal. White supremacy is more than the idea that whites are superior to people of color; it is the deeper premise that supports this idea—the definition of whites as the norm or standard for human, and people of color as a deviation from that norm.
Robin DiAngelo (White Fragility: Why It's So Hard for White People to Talk About Racism)
Sorry, the points are already deducted. And taking into account his schedule, and then the standard deviation from the average man’s schedule, I figure ninety percent of his time would go elsewhere. I’d never get uninterrupted coitus.” “Penis math,” Amy said. “Impressive.” She looked at Mallory. “See, this is why a guy shouldn’t date an accountant.
Jill Shalvis (Forever and a Day (Lucky Harbor, #6))
Self-denial can lock women into a smug and critical condescension to other, less devout women. According to Appel, cult members develop..."an attitude of moral superiority, a contempt for secular laws, rigidity of thought, and the diminution of regard for the individual." A premium is placed on conformity to the cult group; deviation is penalized. "Beauty" is derivative; conforming to the Iron Maiden [an intrinsically unattainable standard of beauty that is then used to punish women physically and psychologically for failure to achieve and conform to it] is "beautiful." The aim of beauty thinking, about weight or age, is rigid female thought. Cult members are urged to sever all ties with the past: "I destroyed all my fat photographs!"; "It's a new me!
Naomi Wolf (The Beauty Myth)
I do not mean to say that I viewed those desires of mine that deviated from accepted standards as normal and orthodox; nor do I mean that I labored under the mistaken impression that my friends possessed the same desires. Surprisingly enough, I was so engrossed in tales of romance that I devoted all my elegant dreams to thoughts of love between man and maid, and to marriage, exactly as though I were a young girl who knew nothing of the world. I tossed my love for Omi onto the rubbish heap of neglected riddles, never once searching deeply for its meaning. Now when I write the word love, when I write affection, my meaning is totally different from my understanding of the words at that time. I never even dreamed that such desires as I had felt toward Omi might have a significant connection with the realities of my "life.
Yukio Mishima (Confessions of a Mask)
In general, opinions contrary to those commonly received can only obtain a hearing by studied moderation of language, and the most cautious avoidance of unnecessary offence, from which they hardly ever deviate even in a slight degree without losing ground: while unmeasured vituperation employed on the side of the prevailing opinion, really does deter people from professing contrary opinions, and from listening to those who profess them.
John Stuart Mill (On Liberty)
I took a course at Cal once called Statistical Analysis. And there was a guy in the course who used to make up all of his computations and he never used Sigma. He used his own initials. 'Cause he was the standard deviation.
Mort Sahl
The value for which P=0.05, or 1 in 20, is 1.96 or nearly 2; it is convenient to take this point as a limit in judging whether a deviation ought to be considered significant or not. Deviations exceeding twice the standard deviation are thus formally regarded as significant. Using this criterion we should be led to follow up a false indication only once in 22 trials, even if the statistics were the only guide available. Small effects will still escape notice if the data are insufficiently numerous to bring them out, but no lowering of the standard of significance would meet this difficulty.
Ronald A. Fisher (The Design of Experiments)
Forty percent of all Russell 3000 stock components lost at least 70% of their value and never recovered over this period. Effectively all of the index’s overall returns came from 7% of component companies that outperformed by at least two standard deviations.
Morgan Housel (The Psychology of Money)
Fun. Wasn't that really the beauty of childhood? That you measured experiences by how much fun they were, not by how much work or inconvenience or tedious conversation they caused you? Of course you didn't think of the tiresome things if you were a kid, because you didn't have to do them.
Katherine Heiny (Standard Deviation)
Jhumpa Lahiri, The Namesake Arundhati Roy, The God of Small Things Zadie Smith, White Teeth Chimamanda Ngozi Adichie, Americanah Katherine Heiny, Standard Deviation Rohinton Mistry, A Fine Balance Hiromi Kawakami, Strange Weather in Tokyo Angela Carter, The Magic Toyshop Maya Angelou, I Know Why the Caged Bird Sings Attia Hosain, Sunlight on a Broken Column Ali Smith, There But For The These books found me at just the right time in my life. I can remember each of them so vividly, I remember the characters as though they were friends, sometimes even family, I can remember exactly where I was and how I felt when I turned that final page. They’ve stayed with me ever since.
Sara Nisha Adams (The Reading List)
There were approximately twenty-five people milling around the door and the front of the classroom, but I immediately recognised Julie, the convenor, from Gene’s description: ‘blonde with big tits’. In fact, her breasts were probably no more than one and a half standard deviations from the mean size for her body weight, and hardly a remarkable identifying feature. It was more a question of elevation and exposure, as a result of her choice of costume, which seemed perfectly practical for a hot January evening.
Graeme Simsion (The Rosie Project (Don Tillman, #1))
The schooling, together with health and wealth, are literally making us smarter—by thirty IQ points, or two standard deviations above our ancestors.
Steven Pinker (Enlightenment Now: The Case for Reason, Science, Humanism, and Progress)
For all live births, the mean pregnancy length is 38.6 weeks, the standard deviation is 2.7 weeks, which means we should expect deviations of 2-3 weeks to be common.
Allen B. Downey (Think Stats)
Any aspirant who deviated from the standards laid down by Mrs. Astor and Ward McAllister was doomed. A big house, tasteful parties, fine horses, a reasonably presentable husband guaranteed nothing. If Mrs. Astor refused to know you, you might as well be living in Cleveland.
Carol Wallace (To Marry an English Lord)
It occurred to Graham that here, finally, was the similarity between the two women he’d chosen to marry: they were both totally unrufflable, one out of iciness, the other out of obliviousness.
Katherine Heiny (Standard Deviation)
Although the army of Genghis Khan killed at an unprecedented rate and used death almost as a matter of policy and certainly as a calculated means of creating terror, they deviated from standard practices of the time in an important and surprising way. The Mongols did not torture, mutilate, or maim.
Jack Weatherford (Genghis Khan and the Making of the Modern World)
During the dot-com bubble, most people did not use a persuasive theory to gauge whether stock prices were too high, too low, or just right. Instead, as they watched stock prices go up, they invented explanations to rationalize what was happening. They talked about Moore’s Law, smart kids, and Alan Greenspan. Data without theory.
Gary Smith (Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics)
IQ is a general measure of socially acceptable categorization and reasoning skills. IQ tests were designed in behaviorism's heyday, when there was little interest in cognitive structure. [...] In other societies, a normal distribution of some general measure of social intelligence might look very different; some "normal" members of our society could well produce a score that's a standard deviation from "normal" members of another society on that other society's test.
Scott Atran
How large is the black-white difference? The usual answer to this question is one standard deviation. In discussing IQ tests, for example, the black mean is commonly given as 85, the white mean as 100, and the standard deviation as 15.
Richard J. Herrnstein (The Bell Curve: Intelligence and Class Structure in American Life)
We noticed that the boys’ and girls’ scores were not equally spread. The means were the same. However, the standard deviation for the boys was 14.9, and for the girls it was only 14.1. This difference in spread was statistically significant.
Ian J. Deary (Intelligence: A Very Short Introduction (Very Short Introductions))
His research demonstrates that one extra day per week of parent-child read-aloud sessions during the first ten years of a child’s life increases standardized test scores by half a standard deviation. That’s as many as 15–30 percentile points—a tremendous gain.3
Sarah Mackenzie (The Read-Aloud Family: Making Meaningful and Lasting Connections with Your Kids)
Richard Lynn was able to assemble eleven studies in his 1991 review of the literature. He estimated the median black African IQ to be 75, approximately 1.7 standard deviations below the U.S. overall population average, about 10 points lower than the current figure for American blacks.
Richard J. Herrnstein (The Bell Curve: Intelligence and Class Structure in American Life)
Look, cell phone geolocation data shows very few clustering anomalies for this hour and climate. And that’s holding up pretty much across all major metro areas. It’s gone down six percentage points since news of the Karachi workshop hit the Web, and it’s trending downward. If people are protesting, they aren’t doing it in the streets.” He circled his finger over a few clusters of dots. “Some potential protest knots in Portland and Austin, but defiance-related tag cloud groupings in social media put us within the three-sigma rule—meaning roughly sixty-eight percent of the values lie within one standard deviation of the mean.
Daniel Suarez
Avoid succumbing to the gambler’s fallacy or the base rate fallacy. Anecdotal evidence and correlations you see in data are good hypothesis generators, but correlation does not imply causation—you still need to rely on well-designed experiments to draw strong conclusions. Look for tried-and-true experimental designs, such as randomized controlled experiments or A/B testing, that show statistical significance. The normal distribution is particularly useful in experimental analysis due to the central limit theorem. Recall that in a normal distribution, about 68 percent of values fall within one standard deviation, and 95 percent within two. Any isolated experiment can result in a false positive or a false negative and can also be biased by myriad factors, most commonly selection bias, response bias, and survivorship bias. Replication increases confidence in results, so start by looking for a systematic review and/or meta-analysis when researching an area.
Gabriel Weinberg (Super Thinking: The Big Book of Mental Models)
He glanced across the table at Elspeth and their eyes caught for a second, like two coat hangers before you shake them free of each other.
Katherine Heiny (Standard Deviation)
And yet, he knew Audra did genuinely feel the loss of these conversations, of any conversation that she didn’t get to have.
Katherine Heiny (Standard Deviation)
People in love were happy because being in love blocked all the other emotions out.
Katherine Heiny (Standard Deviation)
A simple act of deviating from the set moral standard established by the moral lawgiver is an offense, suffice to make us culpable.
Royal Raj S
Maybe in some relationships there was so much history that fondness and guilt and curiosity and familiarity remained separate elements and could never be melted down into friendship.
Katherine Heiny (Standard Deviation)
The standard of what is good is not found in humanity. It is found in God because God is absolute and unchanging. He is the standard by which good and bad are judged. Anything that deviates from him is not good. It would follow then that the average person’s sense of right and wrong is skewed because it is based on his own preferences or the particular moral direction that society happens to have at the time.
Matt Slick (The Influence (Supernatural Thriller))
For example, a set of twenty-five studies involving five hundred astrologers examined the average degree of agreement between astrological predictions. In social science, such as in psychology, tests that have less than o.8 (i.e., 8o percent) agreement level are considered unreliable. Astrology's reliability is an embarrassingly low o. I, with a variability around the mean of o.o6 standard deviations. This means that there is, on average, no agreement at all among the predictions made by different astrologers.
Massimo Pigliucci (Nonsense on Stilts: How to Tell Science from Bunk)
The tragic style of Aeschylus (I use the word "style" in the sense it receives in sculpture, and not in the exclusive signification of the manner of writing,) is grand, severe, and not unfrequently hard: that of Sophocles is marked by the most finished symmetry and harmonious gracefulness: that of Euripides is soft and luxuriant; overflowing in his easy copiousness, he often sacrifices the general effect to brilliant passages. The analogies which the undisturbed development of the fine arts among the Greeks everywhere furnishes, will enable us, throughout to compare the epochs of tragic art with those of sculpture. Aeschylus is the Phidias of Tragedy, Sophocles her Polycletus, and Euripides her Lysippus. Phidias formed sublime images of the gods, but lent them an extrinsic magnificence of material, and surrounded their majestic repose with images of the most violent struggles in strong relief. Polycletus carried his art to perfection of proportion, and hence one of his statues was called the Standard of Beauty. Lysippus distinguished himself by the fire of his works; but in his time Sculpture had deviated from its original destination, and was much more desirous of expressing the charm of motion and life than of adhering to ideality of form.
August Wilhelm von Schlegel (Lectures on Dramatic Art and Literature)
Heat is lost at the surface, so the more surface area you have relative to volume, the harder you must work to stay warm. That means that little creatures have to produce heat more rapidly than large creatures. They must therefore lead completely different lifestyles. An elephant’s heart beats just thirty times a minute, a human’s sixty, a cow’s between fifty and eighty, but a mouse’s beats six hundred times a minute—ten times a second. Every day, just to survive, the mouse must eat about 50 percent of its own body weight. We humans, by contrast, need to consume only about 2 percent of our body weight to supply our energy requirements. One area where animals are curiously—almost eerily—uniform is with the number of heartbeats they have in a lifetime. Despite the vast differences in heart rates, nearly all animals have about 800 million heartbeats in them if they live an average life. The exception is humans. We pass 800 million heartbeats after twenty-five years, and just keep on going for another fifty years and 1.6 billion heartbeats or so. It is tempting to attribute this exceptional vigor to some innate superiority on our part, but in fact it is only over the last ten or twelve generations that we have deviated from the standard mammalian pattern thanks to improvements in our life expectancy. For most of our history, 800 million beats per lifetime was about the human average, too.
Bill Bryson (The Body: A Guide for Occupants)
Is their average blood glucose a little bit high? Are they “spiking” above 160 mg/dL more often than I would like? Or could they perhaps tolerate a little bit more carbohydrate in their diet? Not everyone needs to restrict carbohydrates; some people can handle more than others, and some have a hard time sticking to severe carbohydrate restriction. Overall, I like to keep average glucose at or below 100 mg/dL, with a standard deviation of less than 15 mg/dL.[*5] These are aggressive goals: 100 mg/dL corresponds to an HbA1c of 5.1 percent, which is quite low. But I believe that the reward, in terms of lower risk of mortality and disease, is well worth it given the ample evidence in nondiabetics and diabetics alike.
Peter Attia (Outlive: The Science and Art of Longevity)
In fact, the average programming manager would prefer that a project be estimated at twelve months and take twelve than that the same project be estimated at six months and take nine. This is an area where some psychological study could be rewarding, but there are indications from other situations that it is not the mean length of estimated time that annoys people but, rather, the standard deviation in the actual time taken. Thus, most people would prefer to wait a fixed ten minutes for the bus each morning than to wait one minute on four days and twenty-six minutes once a week-. Even though the average wait is six minutes in the second case, the derangement caused by one long and unexpected delay more than compensates for this disadvantage. If
Gerald M. Weinberg (The Psychology of Computer Programming)
Here they were grocery shopping in Fairway on a Saturday morning, a normal married thing to do together— although, Graham could not help noticing, they were not doing it together. His wife, Audra, spent almost the whole time talking to people she knew—it was like accompanying a visiting dignitary of some sort, or maybe a presidential hopeful—while he did the normal shopping.
Katherine Heiny (Standard Deviation)
Our inherited desire to explain what we see fuels two kinds of cognitive errors. First, we are too easily seduced by patterns and by the theories that explain them. Second, we latch onto data that support our theories and discount contradicting evidence. We believe stories simply because they are consistent with the patterns we observe and, once we have a story, we are reluctant to let it go.
Gary Smith (Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics)
0.8-standard-deviation increase in the average sprinting ability in West Africans would be expected to lead to a hundredfold enrichment in the proportion of people above the 99.9999999th percentile point in Europeans. But an alternative explanation that would predict the same magnitude of effect is that there is simply more variation in sprinting ability in people of West African ancestry—with more people of both very high and very low abilities.
David Reich (Who We Are and How We Got Here: Ancient DNA and the New Science of the Human Past)
Sailboat Table (table by Quint Hankle) The Voyage of the Narwhal, by Andrea Barrett Complete Stories, by Clarice Lispector Boy Kings of Texas, by Domingo Martinez The Marrow Thieves, by Cherie Dimaline A Brief History of Seven Killings, by Marlon James There There, by Tommy Orange Citizen: An American Lyric, by Claudia Rankine Underland, by Robert Macfarlane The Undocumented Americans, by Karla Cornejo Villavicencio Deacon King Kong, by James McBride The Dutch House, by Ann Patchett Will and Testament, by Vigdis Hjorth Every Man Dies Alone, by Hans Fallada The Door, by Magda Svabo The Plot Against America, by Philip Roth Fates and Furies, by Lauren Groff The Overstory, by Richard Power Night Train, by Lise Erdrich Her Body and Other Parties, by Carmen Maria Machado The Penguin Book of the Modern American Short Story, edited by John Freeman Between the World and Me, by Ta-Nehisi Coates Birds of America, by Lorrie Moore Mongrels, by Stephen Graham Jones The Office of Historical Corrections, by Danielle Evans Tenth of December, by George Saunders Murder on the Red River, by Marcie R. Rendon Leave the World Behind, by Rumaan Alam Ceremony, by Leslie Marmon Silko On Earth We’re Briefly Gorgeous, by Ocean Vuong The Unwomanly Face of War, by Svetlana Alexievich Standard Deviation, by Katherine Heiny All My Puny Sorrows, by Miriam Toews The Death of the Heart, by Elizabeth Bowen Mean Spirit, by Linda Hogan NW, by Zadie Smith Being Mortal, by Atul Gawande Americanah, by Chimamanda Ngozi Adichie Firekeeper’s Daughter, by Angeline Boulley Erasure, by Percival Everett Sharks in the Time of Saviors, by Kawai Strong Washburn Heaven, by Mieko Kawakami Books for Banned Love Sea of Poppies, by Amitav Ghosh The English Patient, by Michael Ondaatje Euphoria, by Lily King The Red and the Black, by Stendahl Luster, by Raven Leilani Asymmetry, by Lisa Halliday All the Pretty Horses, by Cormac McCarthy Middlesex, by Jeffrey Eugenides The Vixen, by Francine Prose Legends of the Fall, by Jim Harrison The Winter Soldier, by Daniel Mason
Louise Erdrich (The Sentence)
While the reading list in the book belongs to one character, there are so many more books I wanted to include, books that have changed the way I’ve thought about writing, people, the world. Books that inspired me, moved me, taught me more than any school lesson could. Books that made me want to be a reader and eventually a writer. This is my reading list. Jhumpa Lahiri, The Namesake Arundhati Roy, The God of Small Things Zadie Smith, White Teeth Chimamanda Ngozi Adichie, Americanah Katherine Heiny, Standard Deviation Rohinton Mistry, A Fine Balance Hiromi Kawakami, Strange Weather in Tokyo Angela Carter, The Magic Toyshop Maya Angelou, I Know Why the Caged Bird Sings Attia Hosain, Sunlight on a Broken Column Ali Smith, There But For The These books found me at just the right time in my life. I can remember each of them so vividly, I remember the characters as though they were friends, sometimes even family, I can remember exactly where I was and how I felt when I turned that final page. They’ve stayed with me ever since.
Sara Nisha Adams (The Reading List)
Insisting that Jack the Ripper killed prostitutes also makes the story of a vicious series of murders slightly more palatable. Just as it did in the nineteenth century, the notion that the victims were “only prostitutes” perpetuates the belief that there are good women and bad women, madonnas and whores. It suggests that there is an acceptable standard of female behavior, and those who deviate from it are fit to be punished. Equally, it reasserts the double standard, exonerating men from wrongs committed against such women.
Hallie Rubenhold (The Five: The Untold Lives of the Women Killed by Jack the Ripper)
After leaving the dead bodies at the job site, he should have broken the weapon down into as many pieces as possible. He should have disposed of its parts in widely separated locations, the barrel in a storm drain perhaps, half the frame in a creek, the other half in a Dumpster….until nothing was left. That is standard procedure, and he is at a loss to understand why he disregarded it this time. A low-grade guilt attends this deviation from routine, but he is not going to go out again and dispose of the weapon. In addition to the guilt, he feels . . . rebellious.
Dean Koontz (Mr. Murder)
What an extraordinary episode in the economic progress of man that age was which came to an end in August 1914! The greater part of the population, it is true, worked hard and lived at a low standard of comfort, yet were, to all appearances, reasonably contented with this lot. But escape was possible, for any man of capacity or character at all exceeding the average, into the middle and upper classes, for whom life offered, at a low cost and with the least trouble, conveniences, comforts, and amenities beyond the compass of the richest and most powerful monarchs of other ages. The inhabitant of London could order by telephone, sipping his morning tea in bed, the various products of the whole earth, in such quantity as he might see fit, and reasonably expect their early delivery upon his doorstep; he could at the same moment and by the same means adventure his wealth in the natural resources and new enterprises of any quarter of the world, and share, without exertion or even trouble, in their prospective fruits and advantages; or he could decide to couple the security of his fortunes with the good faith of the townspeople of any substantial municipality in any continent that fancy or information might recommend. He could secure forthwith, if he wished it, cheap and comfortable means of transit to any country or climate without passport or other formality, could despatch his servant to the neighbouring office of a bank for such supply of the precious metals as might seem convenient, and could then proceed abroad to foreign quarters, without knowledge of their religion, language, or customs, bearing coined wealth upon his person, and would consider himself greatly aggrieved and much surprised at the least interference. But, most important of all, he regarded this state of affairs as normal, certain, and permanent, except in the direction of further improvement, and any deviation from it as aberrant, scandalous, and avoidable. The projects and politics of militarism and imperialism, of racial and cultural rivalries, of monopolies, restrictions, and exclusion, which were to play the serpent to this paradise, were little more than the amusements of his daily newspaper, and appeared to exercise almost no influence at all on the ordinary course of social and economic life, the internationalisation of which was nearly complete in practice.
John Maynard Keynes (The Economic Consequences of the Peace)
Humans have been around for hundreds of thousands of years, and have survived numerous ice ages and warm spells. However, agriculture, cities and complex societies have existed for no more than 10,000 years. During this period, known as the Holocene, Earth's climate has been relatively stable. Any deviation from Holocene standards will present human societies with enormous challenges they never encountered before. It will be like conducting an open-ended experiment on billions of human guinea pigs. Even if human civilisation eventually adapts to the new conditions, who knows how many victims might perish in the process of adaptation. (page 76)
Yuval Noah Harari (21 Lessons for the 21st Century)
Gossip is perhaps the most familiar and elementary form of disguised popular aggression. Though its use is hardly confined to attacks by subordinates on their superiors, it represents a relatively safe social sanction. Gossip, almost by definition has no identifiable author, but scores of eager retailers who can claim they are just passing on the news. Should the gossip—and here I have in mind malicious gossip—be challenged, everyone can disavow responsibility for having originated it. The Malay term for gossip and rumor, khabar angin (news on the wind), captures the diffuse quality of responsibility that makes such aggression possible. The character of gossip that distinguishes it from rumor is that gossip consists typically of stories that are designated to ruin the reputation of some identifiable person or persons. If the perpetrators remain anonymous, the victim is clearly specified. There is, arguably, something of a disguised democratic voice about gossip in the sense that it is propagated only to the extent that others find it in their interest to retell the story.13 If they don’t, it disappears. Above all, most gossip is a discourse about social rules that have been violated. A person’s reputation can be damaged by stories about his tightfistedness, his insulting words, his cheating, or his clothing only if the public among whom such tales circulate have shared standards of generosity, polite speech, honesty, and appropriate dress. Without an accepted normative standard from which degrees of deviation may be estimated, the notion of gossip would make no sense whatever. Gossip, in turn, reinforces these normative standards by invoking them and by teaching anyone who gossips precisely what kinds of conduct are likely to be mocked or despised. 13. The power to gossip is more democratically distributed than power, property, and income, and, certainly, than the freedom to speak openly. I do not mean to imply that gossip cannot and is not used by superiors to control subordinates, only that resources on this particular field of struggle are relatively more favorable to subordinates. Some people’s gossip is weightier than that of others, and, providing we do not confuse status with mere public deference, one would expect that those with high personal status would be the most effective gossipers.
James C. Scott (Domination and the Arts of Resistance: Hidden Transcripts)
Thought experiments aren’t oracles. They can’t tell you what’s true or fair or what decision you should make. If you notice that you would be more forgiving of adultery in a Democrat than a Republican, that reveals you have a double standard, but it doesn’t tell you what your standard “should” be. If you notice that you’re nervous about deviating from the status quo, that doesn’t mean you can’t decide to play it safe this time anyway. What thought experiments do is simply reveal that your reasoning changes as your motivations change. That the principles you’re inclined to invoke or the objections that spring to your mind depend on your motives: the motive to defend your image or your in-group’s status; the motive to advocate for a self-serving policy; fear of change or rejection.
Julia Galef (The Scout Mindset: The Perils of Defensive Thinking and How to Be Right More Often)
among the young, a portent of the world’s future. Hate crimes, violence against women, and the victimization of children are all in long-term decline, as is the exploitation of children for their labor. As people are getting healthier, richer, safer, and freer, they are also becoming more literate, knowledgeable, and smarter. Early in the 19th century, 12 percent of the world could read and write; today 83 percent can. Literacy and the education it enables will soon be universal, for girls as well as boys. The schooling, together with health and wealth, are literally making us smarter—by thirty IQ points, or two standard deviations above our ancestors. People are putting their longer, healthier, safer, freer, richer, and wiser lives to good use. Americans work 22 fewer hours a week than they used to, have three weeks of paid vacation, lose 43 fewer hours to housework, and spend just a third of their paycheck on necessities rather than five-eighths. They are using their leisure and disposable income to travel, spend time with their children, connect with loved ones, and sample the world’s cuisine, knowledge, and culture. As a result of these gifts, people worldwide have become happier. Even Americans, who take their good fortune for granted, are “pretty happy” or happier, and the younger generations are becoming less unhappy, lonely, depressed, drug-addicted, and suicidal. As societies have become healthier, wealthier, freer, happier, and better educated, they have set their sights on the most pressing global challenges. They have emitted fewer pollutants, cleared fewer forests, spilled less oil,
Steven Pinker (Enlightenment Now: The Case for Reason, Science, Humanism, and Progress)
If you want to make money at some point, remember this, because this is one of the reasons startups win. Big companies want to decrease the standard deviation of design outcomes because they want to avoid disasters. But when you damp oscillations, you lose the high points as well as the low. This is not a problem for big companies, because they don't win by making great products. Big companies win by sucking less than other big companies.” - “The place to fight design wars is in new markets, where no one has yet managed to establish any fortifications. That's where you can win big by taking the bold approach to design, and having the same people both design and implement the product. Microsoft themselves did this at the start. So did Apple. And Hewlett- Packard. I suspect almost every successful startup has.” - “Great software, likewise, requires a fanatical devotion to beauty. If you look inside good software, you find that parts no one is ever supposed to see are beautiful too.” - “The right way to collaborate, I think, is to divide projects into sharply defined modules, each with a definite owner, and with interfaces between them that are as carefully designed and, if possible, as articulated as programming languages. Like painting, most software is intended for a human audience. And so hackers, like painters, must have empathy to do really great work. You have to be able to see things from the user's point of view.” - “It turns out that looking at things from other people's point of view is practically the secret of success.” - “Part of what software has to do is explain itself. So to write good software you have to understand how little users understand. They're going to walk up to the software with no preparation, and it had better do what they guess it will, because they're not going to read the manual.
Paul Graham (Hackers & Painters: Big Ideas from the Computer Age)
All in all, Christian nation proponents commit several errors in their claims about the religious beliefs of the Founders. Their claims isolate the religious language of the Founders and other individuals from their immediate and cultural contexts. They pick statements that conform to modern confessions of faith, while they fail to acknowledge how those statements may have deviated from standards of religious orthodoxy of the time. And they draw assumptions from those isolated statements about how the speaker may have understood the basis of republican principles or the appropriate relationship between church and state matters. In the final analysis, a majority of the leading Founders were neither orthodox Protestants nor hard-core deists; yet, most leaned toward a form of rational theism, an approach that viewed Christianity, or theism generally, through the lens of Enlightenment rationalism. But more to the assumptions that underlie the Christian nation narrative, there is little evidence that the religious rhetoric of the Founders directed their understandings about the foundations of civil government.
Steven K. Green (Inventing a Christian America: The Myth of the Religious Founding)
The Deepening Though in the wake of 9/11 Americans gathered in houses of worship across the land and it appeared as if there would be a national return to God—it never came. In place of the revival was a spiritual and moral apostasy that was unprecedented in its scope and accelerating pace. There was now increasing talk concerning the end of “Christian America.” Polls noticed a growing departure from biblical ethics and values. The turn was most pronounced among the younger generation, portending a future of even greater moral and spiritual departure. In the fall of ancient Israel the nation decided it could rewrite morality and change what was good and evil, sin and righteousness—so too in America. What had once been recognized as right was now attacked as evil, and what had once been recognized as sin was now celebrated as a virtue. Morals, standards, and values that had undergirded not only the nation’s foundation, but also the foundation of Western civilization and civilization itself, were increasingly overturned, overruled, and discarded. And those who would not go along with the change—who merely continued to uphold that which had once been universally upheld—were now increasingly marginalized, vilified, condemned by the culture and the state, and persecuted. And not only did the blood of unborn children continue to flow, as it did in ancient Israel, but the number of those killed was now well over fifty million, a population of many Israels. The nation’s moral descent had now reached the point where the government was seeking to force those who held to God’s Word to go against that Word, punishing resistance with fines, damages, and condemnation. Any deviation from the new ethics of apostasy was swiftly punished. At the same time, the name of God increasingly became the object of attack, mockery, and blasphemy.
Jonathan Cahn (The Mystery of the Shemitah: The 3,000-Year-Old Mystery That Holds the Secret of America's Future, the World's Future, and Your Future!)
We're constantly reminded that this precious life is what you make of it. But what if you're not sure of what you want to make it into? On the one hand there are those resolute in their life's agenda and objectives, often set by the scriptural society they choose to adhere to, or one passed down from parents and family. They know what they want because they allow themselves to be told what is important, to be guided by those who have gone before. A proven formula maybe, or an unrealistic dream. Is true success in ones life fairly measured against someone else's achievements, should we use those achievements of others as our own check list? Surely we will find happiness just as they have, or not, at the end of it. The opposite end of the spectrum sees the tragic dreamers, unable to answer the question of why they're even here, the absence of knowing what their true calling is drives them close to insanity, desperate to live a meaningful life but haunted by the inability to see what constitutes as such. Often turning to artistic release to try and express themselves, their own high standards against which they measure themselves tragically, often fatally high. I find myself somewhere in the middle. I know what society expects but I don't agree with all of it. Much I have to adhere to simply to exist. Fortunately an education grants me a career not a job, that in the current world gives me choices that others do not and I am thankful. But I'm concious that the well beaten paths lead to the same final destination that others have arrived at and been disappointed in themselves, for not aiming higher or being brave enough to be different. Life is what we make of it, but regardless of how lofty or how humble our desired achievements are we should never lose sight of the fact that it is our life to live. We should all feel comfortable enough to make our own mistakes, to make deviations from the main path, to explore with our own eyes and minds. We should ignore those who tell us our dreams are too big, or to lowly or just plain wrong. Deciding whose own advice and guidance to follow, or ignore is often the hardest thing.
Raven Lockwood
By pointing to the captain’s foolhardy departure from standard procedure, the officials shielded themselves from the disturbing image of slaves overpowering their captors and relieved themselves of the uncomfortable obligation to explain how and why the events had deviated from the prescribed pattern. But assigning blame to the captain for his carelessness afforded only partial comfort, for by seizing their opportunity, the Africans aboard the Cape Coast had done more than liberate themselves (temporarily at least) from the slave ship. Their action reminded any European who heard news of the event of what all preferred not to contemplate too closely; that their ‘accountable’ history was only as real as the violence and racial fiction at its foundation. Only by ceaseless replication of the system’s violence did African sellers and European buyers render captives in the distorted guise of human commodities to market. Only by imagining that whiteness could render seven men more powerful than a group of twice their number did European investors produce an account naturalizing social relations that had as their starting point an act of violence. Successful African uprisings against European captors were of course moments at which the undeniable free agency of the captives most disturbed Europeans—for it was in these moments that African captives invalidated the vision of the history being written in this corner of the Atlantic world and articulated their own version of a history that was ‘accountable.’ Other moments in which the agency and irrepressible humanity of the captives manifested themselves were more tragic than heroic: instances of illness and death, thwarted efforts to escape from the various settings of saltwater slavery, removal of slaves from the market by reason of ‘madness.’ In negotiating the narrow isthmus between illness and recovery, death and survival, mental coherence and insanity, captives provided the answers the slave traders needed: the Africans revealed the boundaries of the middle ground between life and death where human commodification was possible. Turning people into slaves entailed more than the completion of a market transaction. In addition, the economic exchange had to transform independent beings into human commodities whose most ‘socially relevant feature’ was their ‘exchangeability’ . . . The shore was the stage for a range of activities and practices designed to promote the pretense that human beings could convincingly play the part of their antithesis—bodies animated only by others’ calculated investment in their physical capacities.
Stephanie E. Smallwood (Saltwater Slavery: A Middle Passage from Africa to American Diaspora)
Just a sec, let me look them up,” Audra said, and there was the muted clatter of her laptop keyboard. Graham tried to remember how conversations like this went in the pre-Google world and found he couldn’t, although the pre-Google world was only what, ten or twelve years ago? (
Katherine Heiny (Standard Deviation)
My grandmother always said that you should be totally packed and ready twenty-four hours before a trip,” Audra said
Katherine Heiny (Standard Deviation)
It was the very best and the very worst thing about her.
Katherine Heiny (Standard Deviation)
at this camp, Matthew would learn to love hiking and swimming and canoeing (which were all things he did not care for), and learn not to mind mosquitoes and wasps and mud between his toes and freezing cold water and being away from his family (which were all things he minded a lot). This
Katherine Heiny (Standard Deviation)
I don’t do that,” he said. “And I especially didn’t do it today in my room between four-thirty and five.
Katherine Heiny (Standard Deviation)
Was there any sight more heartbreaking than a small boy with a big backpack?
Katherine Heiny (Standard Deviation)
We talked about how terrible it is that you spend so much of your life hoping you’re not pregnant
Katherine Heiny (Standard Deviation)
And then Graham understood that it was almost too late. He had spent so much time wishing Matthew were different, wondering how to make Matthew different, when it was actually the process of living that did it. Life forced you to cope. Life wore down all your sharp corners with its tedious grinding on, the grinding that seemed to take forever but was actually as quick as a brushfire. What Graham had to do was to love Matthew right now, right this instant—heart, get busy—before Matthew grew up and turned into someone else. Chapter Eight It was a Friday night not so different from any other.
Katherine Heiny (Standard Deviation)
and that when she was fifteen, she had made out with her boyfriend in a lake and when the boyfriend ejaculated, his semen had floated to the surface and followed them around like a jellyfish.
Katherine Heiny (Standard Deviation)
Graham thought that the main problem with the All Night Folding Room was that there was no one around to make fun of the All Night Folding Room with.
Katherine Heiny (Standard Deviation)
Clayton rearranged my recipe box,” she said. “He organized the recipes by frequency of use instead of alphabetically, and I have to say, I find it extremely efficient.
Katherine Heiny (Standard Deviation)
Audra said, “The whole Starbucks experience has just been ruined for me since they started listing the calories next to all the drinks.
Katherine Heiny (Standard Deviation)
Derek Rottweiler can’t go to the Natural History Museum at all anymore,” Matthew said, “because he took a slingshot into the butterfly conservatory
Katherine Heiny (Standard Deviation)
He and Audra must look like the newest of lovers, or the frailest of seniors, or the drunkest of partygoers—or anything, really, other than the survivors they were.
Katherine Heiny (Standard Deviation)
Graham marveled for the hundredth time that out of all the women he knew, Audra alone seemed to understand that the prettiest woman in any room would always be the one with the most confident smile. For a second there, he almost admired her.
Katherine Heiny (Standard Deviation)
Now, why was it exciting to hear a pretty woman say the word porn, no matter what the context?
Katherine Heiny (Standard Deviation)
The Irish storyteller ate the cream tea that was on display in the England Room when no one was looking, and the England Room got all upset and demanded an apology. I’m sure if it had been anyone but someone from the Ireland Room, they wouldn’t have cared.
Katherine Heiny (Standard Deviation)
It was like when you were young and single and cleaned your apartment and then realized you still didn’t have a date—you were just a person with a clean apartment who didn’t have a date.
Katherine Heiny (Standard Deviation)
Graham was waiting for a sign. If he told Audra he was going to be out late and she objected, that would be a sign that he shouldn’t go.
Katherine Heiny (Standard Deviation)
Audra tossed her nearly empty Cheetos bag on the coffee table. “Cheetos are just delicious while you’re eating them,” she said. “But then you feel yucky afterward. Sort of like porn.” She
Katherine Heiny (Standard Deviation)
War is hell, yes; but so is Cub Scouts. Or at least being the parent of a Cub Scout is. A subtler kind of hell where the people have no sense of irony, and they make you go camping in cold weather, and you have to carve small race cars out of blocks of wood, and sing songs that have a lot of verses, and attend den meetings, and help your child obtain all sorts of useless (and nearly unobtainable) badges. And then, after years of encouraging your kid to like Cub Scouts, you have to quick discourage him from liking it around age twelve so it doesn’t adversely affect his social life. Plus, they ban alcohol.
Katherine Heiny (Standard Deviation)
The steps of the rattlesnake volatility formula are: 1)  Overlay Bollinger Bands on a price chart with a 20 period, 2 standard-deviation setting. 2)  Overlay Keltner Channels on the price chart with the Bollinger Bands, but set a 20-period setting. 3)  At the bottom of the chart, input the Chaikin Oscillator to monitor the flow of money in and out of the the stock and set at a 21-period setting.
Ex (Simple Stock Trading Formulas: How to Make Money Trading Stocks)
In the financial world, risk translates to uncertainty. It's measured by "standard deviation from the norm" -- in other words, it's measured by how much the returns swing up and down. Says King, "Most individuals measure risk as their chance of loss, but we measure risk by the variability of returns.
Kathy Kristof
liter. The correlation value, r, will be the same for either set of units.  Note however that the slope of the regression line won’t be the same since And the standard deviation parts of the equation still have units baked into them.     Correlation Takeaways We did a lot of looking at equations in this section.  What are the key takeaways? The
Scott Hartshorn (Linear Regression And Correlation: A Beginner's Guide)
Indeed, there was something hard and unforgiving and almost brutal among those who considered themselves the most piously stringent in their observance, something ugly and positively vicious in their unrelenting persecution of those who deviated from their standards.
Naomi Ragen (An Unorthodox Match)
The beauty of the normal distribution - its Michael Jordan power, finesse, and elegance - comes from the fact that we know by definition exactly what proportion of the observations in a normal distribution lie within one standard deviation of the mean (68.2 percent), within two standard deviations of the mean (95.4 percent), within three standard deviations of the mean (99.7 percent), and so on.
Charles Wheelan (Naked Statistics: Stripping the Dread from the Data)
Post-hoc rationalization The action-reflex obtained by propaganda is only a beginning, a point of departure; it will develop harmoniously only if there is an organization in which (and thanks to which) the proselyte becomes militant. Without organization, psychological incitement leads to excesses and deviation of action in the very course of its development. Through organization, the proselyte receives an overwhelming impulse that makes him act with the whole of his being. He is actually transformed into a religious man in the psycho-sociological sense of the term; justice enters into the action he performs because of the organization of which he is a part. Thus his action is integrated into a group of conforming actions. Not only does such integration seem to be the principal aim of all propaganda today; it Is also what makes the effect of propaganda endure. For action makes propaganda's effect irreversible. He who acts in obedience to propaganda can never go back. He is now obliged to believe in that propaganda because of his past action. He is obliged to receive from it his justification and authority, without which his action will seem to him absurd or unjust, which would be intolerable. He is obliged to continue to advance in the direction indicated by propaganda, for action demands more action. He is what one calls "committed" — which is certainly what the Communist party anticipates, for example, and what the Nazis accomplished. The man who has acted in accordance with the existing propaganda has taken his place in society. From then on he has enemies. Often he has broken with his milieu or his family; he may be compromised. He is forced to accept the new milieu and the new friends that propaganda makes for him. Often he has committed an act reprehensible by traditional moral standards and has disturbed a certain urder. He needs a justification for this — and he gets more deeply involved by repeating the act in order to prove that it was just.
Jacques Ellul (Propaganda: The Formation of Men's Attitudes)
Fire on the Mountain, by Anita Desai Sailboat Table (table by Quint Hankle) The Voyage of the Narwhal, by Andrea Barrett Complete Stories, by Clarice Lispector Boy Kings of Texas, by Domingo Martinez The Marrow Thieves, by Cherie Dimaline A Brief History of Seven Killings, by Marlon James There There, by Tommy Orange Citizen: An American Lyric, by Claudia Rankine Underland, by Robert Macfarlane The Undocumented Americans, by Karla Cornejo Villavicencio Deacon King Kong, by James McBride The Dutch House, by Ann Patchett Will and Testament, by Vigdis Hjorth Every Man Dies Alone, by Hans Fallada The Door, by Magda Szabó The Plot Against America, by Philip Roth Fates and Furies, by Lauren Groff The Overstory, by Richard Power Night Train, by Lise Erdrich Her Body and Other Parties, by Carmen Maria Machado The Penguin Book of the Modern American Short Story, edited by John Freeman Between the World and Me, by Ta-Nehisi Coates Birds of America, by Lorrie Moore Mongrels, by Stephen Graham Jones The Office of Historical Corrections, by Danielle Evans Tenth of December, by George Saunders Murder on the Red River, by Marcie R. Rendon Leave the World Behind, by Rumaan Alam Ceremony, by Leslie Marmon Silko On Earth We’re Briefly Gorgeous, by Ocean Vuong The Unwomanly Face of War, by Svetlana Alexievich Standard Deviation, by Katherine Heiny All My Puny Sorrows, by Miriam Toews The Death of the Heart, by Elizabeth Bowen Mean Spirit, by Linda Hogan NW, by Zadie Smith Being Mortal, by Atul Gawande Americanah, by Chimamanda Ngozi Adichie Firekeeper’s Daughter, by Angeline Boulley Erasure, by Percival Everett Sharks in the Time of Saviors, by Kawai Strong Washburn Heaven, by Mieko Kawakami
Louise Erdrich (The Sentence)
Where Jolson conquered, Bing Crosby convinced and charmed, and like Astaire, Jolson too for that matter, he did not possess the physical gifts of a standard leading man (angles and ears and hair, yet again). Also like Astaire, he made it all seem easy, with the laid-back acting and the unforced way that devastating baritone could pour out and swing out. In one crucial sense he was more beholden to Jolson than Astaire, being primarily a solo performer who sang to people more than he sang with them. Recall: who was Crosby’s only steady partner on film? Bob Hope, in a partnership based in jokey rivalry. Other singers in Crosby films, besides Hope and Dorothy Lamour, seldom counted. Nor did most of Crosby’s films. Paramount, his home studio, was a formula-bound factory for most of the 1930s and ’40s, and the golden goose of the Crosby films did not countenance feather-ruffling. One after another, they were amiable time-passers, relaxed escapism that made a mint and sold tons of records and sheet music. For many then and some now, these vehicles offered unthreatening comfort—few chances taken, little deviation from formula, a likable guy ambling through some minor plot and singing mostly great songs. On occasion there was something as glaring as the ridiculous Dixie: as composer Dan Emmett, Crosby speeds up the title song into an uptempo hit only because the theater’s caught on fire. Generally, his films lacked even that cuckoo invigoration, which is why posterity dotes on Holiday Inn and its splashy, inferior semi-remake, White Christmas, and few of the others. While it would not be accurate to view Crosby as another megalomaniacal Jolson type, he lacked Astaire’s forceful imagination. Greater professional curiosity might have made his films—not simply his singing—transcend time and circumstance.
Richard Barrios (Dangerous Rhythm: Why Movie Musicals Matter)
Her anxiety had gotten better in the last several years, once she’d started to use a planner and keep a schedule and basically try to control every aspect of her life, but it was always curled up at the base of her spine like a sleeping cat. Any step off the normal path, any deviation from standard, and it started lashing its tail. Suddenly, she wanted to cry. She’d been doing so well, but clearly she wasn’t one of those people who could be spontaneous, and that was going to have to be OK. She didn’t want complexity in her life, and with work and the new weird family thing, she definitely didn’t have space for a boyfriend. Time to go back into hiding.
Abbi Waxman (The Bookish Life of Nina Hill)
Racism has permeated psychology and psychiatry from its genesis. Early clinicians came from white, European backgrounds, and used their culture's social norms as the basis for what being healthy looked like. It was a very narrow and oppressive definition, which assumed that being genteel, well-dressed, well-read, and white were the marks of humanity, and that anyone who deviated from that standard was not a person, but an animal in need of being tamed.
Devon Price (Unmasking Autism: Discovering the New Faces of Neurodiversity)
For too long we have positioned women as a deviation from standard humanity and this is why they have been allowed to become invisible. It's time for a change in perspective. It's time for women to be seen.
Caroline Criado Pérez (Invisible Women: Data Bias in a World Designed for Men)
Assuming the total error was approximately normally distributed (the Gaussian or bell-shaped curve), we needed the standard deviation (a measure of uncertainty) for the error of prediction around the actual outcome to be sixteen pockets (0.42 revolution) or less to get an edge. We achieved the tighter estimate of ten pockets, or 0.26 revolution. This gave us the enormous average profit of 44 percent of the amount we bet on the forecast number. If we spread our bet over the two closest numbers on each side, for a total of five numbers in all, we cut risk and still had a 43 percent advantage.
Edward O. Thorp (A Man for All Markets: From Las Vegas to Wall Street, How I Beat the Dealer and the Market)
The objective measure of beauty is beauty itself. The real measure of life is life itself. The objective measure of existence is existence itself. We are part of the beauty of the existing world. Through us, the world measures and enjoys itself in its myriad ways. Life and the world impose standards, but we also make and impose our standards. Our standards must be in accordance, to the highest degree, with the factual state of the world to be a real representation of the world at its best. If our standards deviate from this high demand, then what is left is mostly simulacrum, proportionate to the degree of our deviation or departure from the highest possible standards.
Dejan Stojanovic (ABSOLUTE (THE WORLD IN NOWHERENESS))
When a theory is generated by ransacking data, we can’t use these pillaged data to test the theory.
Gary Smith (Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics)
regression results. Standardized Coefficients The question arises as to which independent variable has the greatest impact on explaining the dependent variable. The slope of the coefficients (b) does not answer this question because each slope is measured in different units (recall from Chapter 14 that b = ∆y/∆x). Comparing different slope coefficients is tantamount to comparing apples and oranges. However, based on the regression coefficient (or slope), it is possible to calculate the standardized coefficient, β (beta). Beta is defined as the change produced in the dependent variable by a unit of change in the independent variable when both variables are measured in terms of standard deviation units. Beta is unit-less and thus allows for comparison of the impact of different independent variables on explaining the dependent variable. Analysts compare the relative values of beta coefficients; beta has no inherent meaning. It is appropriate to compare betas across independent variables in the same regression, not across different regressions. Based on Table 15.1, we conclude that the impact of having adequate authority on explaining productivity is [(0.288 – 0.202)/0.202 =] 42.6 percent greater than teamwork, and about equal to that of knowledge. The impact of having adequate authority is two-and-a-half times greater than that of perceptions of fair rewards and recognition.4 F-Test Table 15.1 also features an analysis of variance (ANOVA) table. The global F-test examines the overall effect of all independent variables jointly on the dependent variable. The null hypothesis is that the overall effect of all independent variables jointly on the dependent variables is statistically insignificant. The alternate hypothesis is that this overall effect is statistically significant. The null hypothesis implies that none of the regression coefficients is statistically significant; the alternate hypothesis implies that at least one of the regression coefficients is statistically significant. The
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)
Since the objective standard of goodness is the word of God, and evil is meant by whatever deviates from this objective goodness, we know that if we can gain knowledge of the content of divine revelation, we will know what constitutes goodness, and also what is evil.
Vincent Cheung (On Good and Evil)
suffered greater wetland loss than watersheds with smaller surrounding populations. Most watersheds have suffered no or only very modest losses (less than 3 percent during the decade in question), and few watersheds have suffered more than a 4 percent loss. The distribution is thus heavily skewed toward watersheds with little wetland losses (that is, to the left) and is clearly not normally distributed.6 To increase normality, the variable is transformed by twice taking the square root, x.25. The transformed variable is then normally distributed: the Kolmogorov-Smirnov statistic is 0.82 (p = .51 > .05). The variable also appears visually normal for each of the population subgroups. There are four population groups, designed to ensure an adequate number of observations in each. Boxplot analysis of the transformed variable indicates four large and three small outliers (not shown). Examination suggests that these are plausible and representative values, which are therefore retained. Later, however, we will examine the effect of these seven observations on the robustness of statistical results. Descriptive analysis of the variables is shown in Table 13.1. Generally, large populations tend to have larger average wetland losses, but the standard deviations are large relative to (the difference between) these means, raising considerable question as to whether these differences are indeed statistically significant. Also, the untransformed variable shows that the mean wetland loss is less among watersheds with “Medium I” populations than in those with “Small” populations (1.77 versus 2.52). The transformed variable shows the opposite order (1.06 versus 0.97). Further investigation shows this to be the effect of the three small outliers and two large outliers on the calculation of the mean of the untransformed variable in the “Small” group. Variable transformation minimizes this effect. These outliers also increase the standard deviation of the “Small” group. Using ANOVA, we find that the transformed variable has unequal variances across the four groups (Levene’s statistic = 2.83, p = .41 < .05). Visual inspection, shown in Figure 13.2, indicates that differences are not substantial for observations within the group interquartile ranges, the areas indicated by the boxes. The differences seem mostly caused by observations located in the whiskers of the “Small” group, which include the five outliers mentioned earlier. (The other two outliers remain outliers and are shown.) For now, we conclude that no substantial differences in variances exist, but we later test the robustness of this conclusion with consideration of these observations (see Figure 13.2). Table 13.1 Variable Transformation We now proceed with the ANOVA analysis. First, Table 13.2 shows that the global F-test statistic is 2.91, p = .038 < .05. Thus, at least one pair of means is significantly different. (The term sum of squares is explained in note 1.) Getting Started Try ANOVA on some data of your choice. Second, which pairs are significantly different? We use the Bonferroni post-hoc test because relatively few comparisons are made (there are only four groups). The computer-generated results (not shown in Table 13.2) indicate that the only significant difference concerns the means of the “Small” and “Large” groups. This difference (1.26 - 0.97 = 0.29 [of transformed values]) is significant at the 5 percent level (p = .028). The Tukey and Scheffe tests lead to the same conclusion (respectively, p = .024 and .044). (It should be noted that post-hoc tests also exist for when equal variances are not assumed. In our example, these tests lead to the same result.7) This result is consistent with a visual reexamination of Figure 13.2, which shows that differences between group means are indeed small. The Tukey and
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)
Finding a historical correlation between gold and silver prices is no more convincing than finding a historical correlation between marriage and beer consumption. All it demonstrates is that we looked long enough to find a correlation.
Gary Smith (Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics)
Be doubly skeptical of graphs that have two vertical axes and omit zero from either or both axes.
Gary Smith (Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics)
Remedies exist for correcting substantial departures from normality, but these remedies may make matters worse when departures from normality are minimal. The first course of action is to identify and remove any outliers that may affect the mean and standard deviation. The second course of action is variable transformation, which involves transforming the variable, often by taking log(x), of each observation, and then testing the transformed variable for normality. Variable transformation may address excessive skewness by adjusting the measurement scale, thereby helping variables to better approximate normality.8 Substantively, we strongly prefer to make conclusions that satisfy test assumptions, regardless of which measurement scale is chosen.9 Keep in mind that when variables are transformed, the units in which results are expressed are transformed, as well. An example of variable transformation is provided in the second working example. Typically, analysts have different ways to address test violations. Examination of the causes of assumption violations often helps analysts to better understand their data. Different approaches may be successful for addressing test assumptions. Analysts should not merely go by the result of one approach that supports their case, ignoring others that perhaps do not. Rather, analysts should rely on the weight of robust, converging results to support their final test conclusions. Working Example 1 Earlier we discussed efforts to reduce high school violence by enrolling violence-prone students into classes that address anger management. Now, after some time, administrators and managers want to know whether the program is effective. As part of this assessment, students are asked to report their perception of safety at school. An index variable is constructed from different items measuring safety (see Chapter 3). Each item is measured on a seven-point Likert scale (1 = strongly disagree to 7 = strongly agree), and the index is constructed such that a high value indicates that students feel safe.10 The survey was initially administered at the beginning of the program. Now, almost a year later, the survey is implemented again.11 Administrators want to know whether students who did not participate in the anger management program feel that the climate is now safer. The analysis included here focuses on 10th graders. For practical purposes, the samples of 10th graders at the beginning of the program and one year later are regarded as independent samples; the subjects are not matched. Descriptive analysis shows that the mean perception of
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)
Everything is relative but there is a standard which must not be deviated from, especially with reference to the basic culinary preparations. A. Escoffier The Complete Guide to the Art of Modern Cookery
Michael Ruhlman (The Making of a Chef: Mastering Heat at the Culinary Institute of America)
understanding of this formula, it is useful to relate it to the discussion of hypothesis testing in Chapter 10. First, note that the difference of means, appears in the numerator: the larger the difference of means, the larger the t-test test statistic, and the more likely we might reject the null hypothesis. Second, sp is the pooled variance of the two groups, that is, the weighted average of the variances of each group.3 Increases in the standard deviation decrease the test statistic. Thus, it is easier to reject the null hypotheses when two populations are clustered narrowly around their means than when they are spread widely around them. Finally, more observations (that is, increased information or larger n1 and n2) increase the size of the test statistic, making it easier to reject the null hypothesis. Figure 12.1 The T-Test: Mean Incomes by Gender
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)
knowledge of cardiovascular disease and whether such knowledge reduces behaviors that put people at risk for cardiovascular disease. Simple regression is used to analyze the relationship between two continuous variables. Continuous variables assume that the distances between ordered categories are determinable.1 In simple regression, one variable is defined as the dependent variable and the other as the independent variable (see Chapter 2 for the definitions). In the current example, the level of knowledge obtained from workshops and other sources might be measured on a continuous scale and treated as an independent variable, and behaviors that put people at risk for cardiovascular disease might also be measured on a continuous scale and treated as a dependent variable. Scatterplot The relationship between two continuous variables can be portrayed in a scatterplot. A scatterplot is merely a plot of the data points for two continuous variables, as shown in Figure 14.1 (without the straight line). By convention, the dependent variable is shown on the vertical (or Y-) axis, and the independent variable on the horizontal (or X-) axis. The relationship between the two variables is estimated as a straight line relationship. The line is defined by the equation y = a + bx, where a is the intercept (or constant), and b is the slope. The slope, b, is defined as Figure 14.1 Scatterplot or (y2 – y1)/(x2 – x1). The line is calculated mathematically such that the sum of distances from each observation to the line is minimized.2 By definition, the slope indicates the change in y as a result of a unit change in x. The straight line, defined by y = a + bx, is also called the regression line, and the slope (b) is called the regression coefficient. A positive regression coefficient indicates a positive relationship between the variables, shown by the upward slope in Figure 14.1. A negative regression coefficient indicates a negative relationship between the variables and is indicated by a downward-sloping line. Test of Significance The test of significance of the regression coefficient is a key test that tells us whether the slope (b) is statistically different from zero. The slope is calculated from a sample, and we wish to know whether it is significant. When the regression line is horizontal (b = 0), no relationship exists between the two variables. Then, changes in the independent variable have no effect on the dependent variable. The following hypotheses are thus stated: H0: b = 0, or the two variables are unrelated. HA: b ≠ 0, or the two variables are (positively or negatively) related. To determine whether the slope equals zero, a t-test is performed. The test statistic is defined as the slope, b, divided by the standard error of the slope, se(b). The standard error of the slope is a measure of the distribution of the observations around the regression slope, which is based on the standard deviation of those observations to the regression line: Thus, a regression line with a small slope is more likely to be statistically significant when observations lie closely around it (that is, the standard error of the observations around the line is also small, resulting in a larger test statistic). By contrast, the same regression line might be statistically insignificant when observations are scattered widely around it. Observations that lie farther from the
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)