User manual SAS BASIC ANALYSIS AND GRAPHING RELEASE 9

[. . . ] Basic Analysis and Graphing Get the Most from JMP® Whether you are a first-time or a long-time user, there is always something to learn about JMP. Visit JMP. com and to find the following: · · · · · · live and recorded Webcasts about how to get started with JMP video demos and Webcasts of new features and advanced techniques schedules for seminars being held in your area success stories showing how others use JMP a blog with tips, tricks, and stories from JMP staff a forum to discuss JMP with other users http://www. jmp. com/getstarted/ Release 9 Basic Analysis and Graphing "The real voyage of discovery consists not in seeking new landscapes, but in having new eyes. " Marcel Proust JMP, A Business Unit of SAS SAS Campus Drive Cary, NC 27513 The correct bibliographic citation for this manual is as follows: SAS Institute Inc. JMP® 9 Basic Analysis and Graphing, Copyright © 2010, SAS Institute Inc. , Cary, NC, USA ISBN 978-1-60764-596-2 All rights reserved. For a hard-copy book: No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise, without the prior written permission of the publisher, SAS Institute Inc. [. . . ] Uncertainty Coef Symmetric Symmetric version of the two Uncertainty Coef measures. Takes values in the range 0 to 1. Cochran Armitage Trend Test This Cochran Armitage Trend tests for trends in binomial proportions across the levels of a single variable. This test is appropriate only when one variable has two levels and the other variable is ordinal. The two-level variable represents the response, and the other represents an explanatory variable with ordered levels. The null hypothesis is the hypothesis of no trend, which means that the binomial proportion is the same for all levels of the explanatory variable. Example of the Cochran Armitage Trend Test 1. In the Columns panel, right-click on the icon next to size and select Ordinal. Chapter 6 Performing Contingency Analysis Exact Test 215 3. From the red triangle menu next to Contingency Analysis, select Cochran Armitage Trend Test. Figure 6. 22 Example of the Cochran Armitage Trend Test Report The two-sided p-value (0. 7094) is large. From this, you can conclude that there is no trend in the proportion of male and females that purchase different sizes of cars. The test statistic and p-values given in this section are approximate. An exact version of the trend test is available, see "Exact Test, " p. 215. Exact Test Note: These options are available only in JMP Pro. This section discusses the exact versions of three of the tests available in this platform. 216 Performing Contingency Analysis Statistical Details for the Agreement Statistic Option Table 6. 14 Descriptions of Exact Tests Chapter 6 Fisher's Exact Test Performs Fisher's Exact test for an r x c table. Fisher's exact test assumes that the row and column totals are fixed, and uses the hypergeometric distribution to compute probabilities. This test does not depend on any large-sample distribution assumptions. This means it is appropriate for situations where the Likelihood Ratio and Pearson tests become less reliable, like for small sample sizes or sparse tables. The report includes the following information: Table Probability (P) gives the probability for the observed table. This is not the p-value for the test. Two-sided Prob P gives the p-value for the two-sided test. For 2x2 tables, the Fisher's Exact test is automatically performed. Exact Cochran Armitage Trend Test Performs the exact version of the Cochran Armitage Trend Test. For more details about the trend test, see "Cochran Armitage Trend Test, " p. For more details about agreement testing, see "Agreement Statistic, " p. 207. Exact Agreement Test Statistical Details for the Agreement Statistic Option Quantities associated with the Kappa statistic are computed as follows: P0 ­ Pe ^ = ---------------- where P 0 = 1 ­ Pe pii and Pe i = pi. [. . . ] (1962), "A New Asymmetric Measure of Association for Ordinal Variables, " American Sociological Review, 27, 799-811. (1962), "Sequential Application of Simplex Designs in Optimization and Evolutionary Operation, " Technometrics 4, 441­461. (1979), "Comment on Olson: Choosing a Test Statistic in Multivariate Analysis of Variance, " Psychological Bulletin, 86, 355­360. (1986), Applied Multivariate Statistics for the Social Sciences, New Jersey: Laurence Erlbaum Associates. [. . . ]