37 pages matching chi-square test in this book
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Clear, straightforward coverage of the subject. I was introduced to an earlier edition of this book during my doctoral program and won't part with it. An excellent resource to have.
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adjusted alpha level analysis of variance ANOVA summary table assess associated assumption behavior between-subjects bivariate calculated value chapter chi-square test college students compared computed conducted confidence interval considered correlation coefficient covariate critical value data set data-based dependent variable discussed distribution effect size error risk estimation evaluate example F-test fail to reject female frequency gender hypothesis testing procedure independent indicated inferential statistics interaction involved journal article kind labeled level of significance logistic regression male median mixed ANOVA null hypothesis one-way ANOVA p-value parameter participants percent planned comparisons population post hoc investigation presented question regression reject H0 relationship repeated measures ANOVA research reports researcher's sample data sample means sample statistic scatter diagram searcher significance testing simply situation Source specific standard deviation standard error statistical focus statistical test statistically significant strategy study's subjects three-way ANOVA tion two-way ANOVA Type I error version of hypothesis