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The abject impulse is inalienably connected with the feminine, specifically the maternal. As it forms out of the undefined morass of relations, surfaces and currents that existed before the Oedipal or mirror-stage coordinated them, the subject seems built around a primal sense of loss. The developing sense of the limits of the body is focussed on those holes in it's surface through which the outside becomes inside and vice versa: the mouth, anus, genitals, even the invisibly porous surface of the skin. It was the mother's body that was most connected with these crossing-points, as it fed and cleaned the undefined infant body. The sense that boundaries and limits are forming around this permable flesh is interpreted then as the withdrawal or even loss, of intimacy with the body of the mother, firstly in the increasing distance of the practical hygiene operations it performs and secondly, more remotely, beyond that in it's archaic ur-form as the body through which the child entered into the world.
Nick Mansfield
usually does not present much of a problem. Some analysts use t-tests with ordinal rather than continuous data for the testing variable. This approach is theoretically controversial because the distances among ordinal categories are undefined. This situation is avoided easily by using nonparametric alternatives (discussed later in this chapter). Also, when the grouping variable is not dichotomous, analysts need to make it so in order to perform a t-test. Many statistical software packages allow dichotomous variables to be created from other types of variables, such as by grouping or recoding ordinal or continuous variables. The second assumption is that the variances of the two distributions are equal. This is called homogeneity of variances. The use of pooled variances in the earlier formula is justified only when the variances of the two groups are equal. When variances are unequal (called heterogeneity of variances), revised formulas are used to calculate t-test test statistics and degrees of freedom.7 The difference between homogeneity and heterogeneity is shown graphically in Figure 12.2. Although we needn’t be concerned with the precise differences in these calculation methods, all t-tests first test whether variances are equal in order to know which t-test test statistic is to be used for subsequent hypothesis testing. Thus, every t-test involves a (somewhat tricky) two-step procedure. A common test for the equality of variances is the Levene’s test. The null hypothesis of this test is that variances are equal. Many statistical software programs provide the Levene’s test along with the t-test, so that users know which t-test to use—the t-test for equal variances or that for unequal variances. The Levene’s test is performed first, so that the correct t-test can be chosen. Figure 12.2 Equal and Unequal Variances The term robust is used, generally, to describe the extent to which test conclusions are unaffected by departures from test assumptions. T-tests are relatively robust for (hence, unaffected by) departures from assumptions of homogeneity and normality (see below) when groups are of approximately equal size. When groups are of about equal size, test conclusions about any difference between their means will be unaffected by heterogeneity. The third assumption is that observations are independent. (Quasi-) experimental research designs violate this assumption, as discussed in Chapter 11. The formula for the t-test test statistic, then, is modified to test whether the difference between before and after measurements is zero. This is called a paired t-test, which is discussed later in this chapter. The fourth assumption is that the distributions are normally distributed. Although normality is an important test assumption, a key reason for the popularity of the t-test is that t-test conclusions often are robust against considerable violations of normality assumptions that are not caused by highly skewed distributions. We provide some detail about tests for normality and how to address departures thereof. Remember, when nonnormality cannot be resolved adequately, analysts consider nonparametric alternatives to the t-test, discussed at the end of this chapter. Box 12.1 provides a bit more discussion about the reason for this assumption. A combination of visual inspection and statistical tests is always used to determine the normality of variables. Two tests of normality are the Kolmogorov-Smirnov test (also known as the K-S test) for samples with more than 50 observations and the Shapiro-Wilk test for samples with up to 50 observations. The null hypothesis of
Evan M. Berman (Essential Statistics for Public Managers and Policy Analysts)
For Descartes, the Earth is only one body among others, but for originary perception, the Earth is undefinable in terms of the body: it is 'the soil of our experience.' We cannot say of it that it is finite or infinite, it is not an object among others objects, but the living stock from which objects are engendered. But we must not apply to the Earth the intraworldly relations that we apply within the Earth. The Earth is neither mobile nor at rest; it does not fall within these oppositions. In a general way, it is a type of being that contains all the ulterior possibilities and serves as a cradle for them...Our soil or ground expands, but it is not doubled, and we cannot think without reference to one soil of experience of this type. The Earth is the root of our history. Just as Noah's ark carried all that could remain living and possible, so too can the Earth be considered as carrier of all the possible.
Maurice Merleau-Ponty (Nature: Course Notes from the Collège de France)
Steven Pinker does not, of course, deny the magnitude of these crimes; he scruples at their relative importance. “If I were one of the people who were alive in a particular era,” he asks, “what would be the chances that I would be a victim of violence?”73 The question provides its own answer. There is safety in numbers. Is there? Is there really? An individual x selected at random is a commonplace in the theory of probability, where x is who he is and S is the population in which he is embedded. In the twentieth century, just what risk was he running to—or fleeing from? It was, Pinker affirms, the risk of being “a victim of violence.” This comes close to cant. If the victims of violence are left undefined, they tend to multiply uncontrollably, the more so if violence is treated as a sinister, but shapeless, force. The Holocaust, the Nuremburg court affirmed, was a crime against humanity. The judgment was morally correct because morally unavoidable, but if the entire human race has, for this reason, been a victim of violence, there are no statistical distinctions left to draw.
David Berlinski (Human Nature)
The code is a metaphor that works well for the genetic code or the rules of a cellular automaton. The code is bad metaphor for the continuously changing states of neurons as they run through their algorithmic programs. Imagine looking for a code in space and time for rule 110, iteration 1,234, position 820-870. To study the mechanism that led to that state, we look at the point before, the relation of how it happened, in all available detail. Is that useful? In the case of the rule 110 automaton, the same rule applies everywhere, so the instance reveals something general about the whole. This is the hope of the biological experiment as well. But what happens if the rule changes with every iteration, as discussed for transcription factor cascades? To describe changing rules of algorithmic growth for every instance in time and space and in different systems is not only a rather large endeavor, it also suffers from the same danger of undefined depth. It is a description of the system, a series of bits of endpoint information, not a description of a code sufficient to create the system. The code is the 'extremely small amount of information to be specified genetically,' as Willshaw and von der Malsburg put it, that is sufficient to encode the unfolding of information under the influence of time and energy. The self-assembling brain.
Peter Robin Hiesinger (The Self-Assembling Brain: How Neural Networks Grow Smarter)
Women know very well how to orgasm during masturbation, whenever they want. If they know how to have orgasms whenever they want, why don't they feel free to use this knowledge during sex with men? Why do women so habitually satisfy men's needs during sex and ignore their own? The fact is that the role of women in sex, as in every other aspect of life, has been to serve the needs of others - men and children. And just as women did not recognize their oppression in a general sense until recently, just so sexual slavery has been an almost unconscious way of life for most women - based on what was said to be an eternally unchanging biological impulse. We have seen, however (in the intercourse chapter), that our model of sex and physical relations is culturally (not biologically) defined, and can be redefined - or undefined. We need not continue to have only one model of physical relations - foreplay, penetration, intercourse, and ejaculation. Women are sexual slaves in so far as they are (justifiably) afraid to "come out" with their own sexuality, and forced to satisfy others' needs and ignore their own.
Shere Hite (The Hite Report : A Nationwide Study of Female Sexuality)
Where do I begin and end in space? I have relations to the sun and air which are just as vital parts of my existence as my heart. The movement in which I am a pattern or convolution began incalculable ages before the (conventionally isolated) event called birth, and will continue long after the event called death. Only words and conventions can isolate us from the entirely undefinable something which is everything.
Alan W. Watts (Wisdom Of Insecurity: A Message for an Age of Anxiety)
General becomes a Statesman, but he must not cease to be the General. He takes into view all the relations of the State on the one hand; on the other, he must know exactly what he can do with the means at his disposal. As the diversity, and undefined limits, of all the circumstances bring a great number of factors into consideration in War, as the most of these factors can only be estimated according to probability, therefore, if the Chief of an Army does not bring to bear upon them a mind with an intuitive perception of the truth, a confusion of ideas and views must take place, in the midst of which the judgment will become bewildered. In this sense, Bonaparte was right when he said that many of the questions which come before a General for decision would make problems for a mathematical calculation not unworthy of the powers of Newton or Euler.
Carl von Clausewitz (On War)