On the Theory of Contingency and Its Relation to Association and Normal Correlation

On the Theory of Contingency and Its Relation to Association and Normal Correlation
Author: Karl 1857-1936 Pearson
Publisher: Franklin Classics Trade Press
Total Pages: 40
Release: 2018-10-31
Genre:
ISBN: 9780344573484

This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

On the Theory of Contingency

On the Theory of Contingency
Author: Karl Pearson
Publisher: CreateSpace
Total Pages: 36
Release: 2013-11
Genre: Mathematics
ISBN: 9781493795918

An excerpt from the beginning of the INTRODUCTION:In dealing with the problem of the relationship of attributes, not capable of quantitative measurement, it has been usual to classify the two attributes into a number of groups, A1, A2, A3, . . . As and B1, B2, B3, . . . Bt. In this manner a table has been formed containing s columns and t rows, or s x t compartments. The total frequency of the population, or of the "universe" under consideration, to use the logician's phrase, is then distributed into sub-groups corresponding to these s x t compartments. In simple cases of association, as in that of the presence of the vaccination cicatrix and the recovery from an attack of smallpox, s and t are both equal to two, and we have a simple four-fold division of the universe. In other cases we have higher numbers, as when we classify the human eye into eight colour classes and correlate these classes with six or more classes for hair colour. We may even run up to as many as 18 to 25 classes for each attribute when we table the coat colours of thoroughbred horses or pedigree dogs in the case of pairs of blood relatives. Hitherto, in order to obtain a measure of the degree of correlation or association, we have proceeded on the assumption that it was necessary to arrange the system of classes like A1, A2, ... As in some order, which corresponded to a real quantitative scale in the attribute, although we were unable to use this scale directly. Thus one arranged eve-colours in what appeared to correspond to a scale of varying amounts of orange pigment; the coat colours of horses were arranged in an order corresponding fairly to what an artist would call their "value." I even analysed hair tints by photographic processes. In all such cases the order seemed of vital importance. Once this order was settled, the methods of my memoir on the correlation of characters not quantitatively measurable could be applied—the actual scale corresponding to the classification could be deduced, and we were able, on the assumption of normal frequency, to actually plot the regression lines for the correlation of a variety of attributes. The conception, however, of order in the classification was at times very hampering. Take three broad classes like those for human temper — quick tempered, good natured, and sullen; it is difficult to grasp the exact meaning of a quantitative scale at the basis of this classification, and it is not obvious that the right order is necessarily that with good-natured in the middle. Or, again, take the case of human hair; omitting the brown reds, we can get a practically continuous series of shades from jet black to flaxen, and from flaxen with increasing red up to the deepest reds. Only the brown reds come in and upset the system! We seem, therefore, forced to take a double scale, first one of black, and then one of red pigment. Or, again, take the coat colour of greyhounds; these are classified into as many as 40 fairly narrow groups, and we can arrange these groups in ascending order of red, or black, or other pigmentation. We have more than one possible scale.Now in recent work on such things as temper in man, eye colour in man, and hair colour in man or other animals, I have proceeded to arrange my groups in two or three different orders, and to calculate the correlation on the basis of these different orders. The results for the different orders came out in rather striking agreement, and the first sort of conclusion that one was tempted to draw was, for example, that the inheritance of pigmentation was strikingly alike for all pigments….

Nonparametric Statistical Inference

Nonparametric Statistical Inference
Author: Jean Dickinson Gibbons
Publisher: CRC Press
Total Pages: 652
Release: 2010-07-26
Genre: Mathematics
ISBN: 1439896127

Proven Material for a Course on the Introduction to the Theory and/or on the Applications of Classical Nonparametric Methods Since its first publication in 1971, Nonparametric Statistical Inference has been widely regarded as the source for learning about nonparametric statistics. The fifth edition carries on this tradition while thoroughly revising at least 50 percent of the material. New to the Fifth Edition Updated and revised contents based on recent journal articles in the literature A new section in the chapter on goodness-of-fit tests A new chapter that offers practical guidance on how to choose among the various nonparametric procedures covered Additional problems and examples Improved computer figures This classic, best-selling statistics book continues to cover the most commonly used nonparametric procedures. The authors carefully state the assumptions, develop the theory behind the procedures, and illustrate the techniques using realistic research examples from the social, behavioral, and life sciences. For most procedures, they present the tests of hypotheses, confidence interval estimation, sample size determination, power, and comparisons of other relevant procedures. The text also gives examples of computer applications based on Minitab, SAS, and StatXact and compares these examples with corresponding hand calculations. The appendix includes a collection of tables required for solving the data-oriented problems. Nonparametric Statistical Inference, Fifth Edition provides in-depth yet accessible coverage of the theory and methods of nonparametric statistical inference procedures. It takes a practical approach that draws on scores of examples and problems and minimizes the theorem-proof format. Jean Dickinson Gibbons was recently interviewed regarding her generous pledge to Virginia Tech.