Explaining Psychological StatisticsDesigned with the future practitioner in mind, this work is orgnized in an A-B-C-D format. Each chapter includes: an overview; basic statistical procedures (formulas, computations, and numerous step-wise instructions and lists); advanced (optional) material; a summary (lists of important points from each of the preceeding sections which serves as a study guide); and an exercise set. The author shows the role statistics play in research, helping motivate students as they see its applications in the clinical areas of psychological research via examples. The book emphasizes connections between seeemingly disparate statistical procedures. |
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05 level alpha assumption average binomial distribution calculated cell Chapter chi-square column comparisons confidence interval considered correlation coefficient critical F critical value degrees of freedom denominator dependent variable described difference scores divided effect size equal equation estimate example exercise experiment experimental F ratio factor Figure Formula frequency distribution gamma graph heart rate height hypothesis testing independent interaction kurtosis linear main effect matched t-test measure median mixed design multiplied normal distribution null hypothesis null hypothesis testing number of subjects one-sample one-way ANOVA pairs Pearson's percentile perform population mean population variance predicted predictors probability randomly ranks regression reject the null researcher RM ANOVA sample means sample sizes sample variances sampling distribution skewed SSbet standard deviation statistically significant subtract Table tion total number treatment levels two-group two-tailed test two-way ANOVA Type I errors z score zero σχ