Using Multivariate StatisticsThis text takes a practical approach to multivariate data analysis, with an introductionto the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge ofhigher-level mathematics. *A new chapter on survival analysis (Ch. 15) allows students to analyze data where the outcome is time until something happens. This is very popular in biomedical research. *A new chapter on time series analysis (Ch. 16) encourages students to learn to model patterns in data gathered over many trials and to test for the effectiveness on an intervention ( |
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Page 55
... expected frequencies against which observed fre- quencies are tested . If the observed frequencies are similar to the expected frequencies , then the value of x2 is small and the null hypothesis is retained ; if they are sufficiently ...
... expected frequencies against which observed fre- quencies are tested . If the observed frequencies are similar to the expected frequencies , then the value of x2 is small and the null hypothesis is retained ; if they are sufficiently ...
Page 223
... frequency analysis . 7.3.2.3 Adequacy of Expected Frequencies The fit between observed and expected frequencies is an empirical question in tests of association among discrete variables . Sample cell sizes are observed frequencies ...
... frequency analysis . 7.3.2.3 Adequacy of Expected Frequencies The fit between observed and expected frequencies is an empirical question in tests of association among discrete variables . Sample cell sizes are observed frequencies ...
Page 554
... Expected Frequencies Only if a goodness - of - fit criterion is to be used to compare observed and expected frequencies is there a limitation to logistic regression . As discussed in Section 12.3.2.2 , the expected frequencies for all ...
... Expected Frequencies Only if a goodness - of - fit criterion is to be used to compare observed and expected frequencies is there a limitation to logistic regression . As discussed in Section 12.3.2.2 , the expected frequencies for all ...
Contents
Using the Book | 17 |
Review of Univariate and Bivariate Statistics | 31 |
Screening Data | 56 |
Copyright | |
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addition adjusted analysis assessed associated assumption attitude canonical cell Chapter classification coding combination comparisons considered continuous correlation covariates deleted depends deviations differences discriminant function discussed distribution effects equation error estimated evaluated example expected factor Figure frequencies groups hypothesis important included indicates interaction interpretation interval labeled levels linear loadings logistic regression MANOVA matrix means measured methods missing multiple multivariate normality observed outliers output partial pattern performed plots predicted predictors probability problem procedure produce programs provides ratio regression regression coefficients relationship reliable researcher residuals rotation sample scores Selected separate shown shows significant solution Specify SPSS standard statistical step subjects sum of squares Syntax SYSTAT Table techniques tion transformation treatment Type univariate values variables variance variates women Yes Yes Yes