Explaining Psychological Statistics
Designed 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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alpha average binomial distribution calculated central tendency Chapter class interval column comparisons computational formula confidence interval considered corresponding critical F cumulative frequency described difference scores digits divided effect size equal estimate example exercise experiment experimental extreme scores F ratio factor Figure Formula frequency distribution frequency polygon graph grouped frequency distribution heart rate height inches independent variable interaction kurtosis linear main effect matched test mean deviation median multiplied normal distribution null hypothesis number of scores one-sample one-way ANOVA outliers parametric statistics percentile rank population mean population variance predicted predictors probability proportion random raw scores real limit regression represent researcher RM ANOVA sample means sample sizes sample statistics sample variances sampling distribution scale simple frequency distribution SIQ range standard deviation statistical procedures statistically significant subtracting summation sign Table tion total number two-group two-tailed two-way ANOVA Type I errors unbiased z-test zero