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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B Basic Statistical Procedures
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assume average calculated Chapter comparison computational formula confidence interval correlation coefficient corresponding critical value cumulative described difference digits effect effect size equal estimate exam example exercise experimental F ratio Figure Formula Formula 5.1 frequency distribution gamma graph heart rate height homogeneity of variance inches independent kurtosis larger linear look math measure median multiplied negative normal distribution null hypothesis distribution null hypothesis testing number of subjects one-way ANOVA outliers Pearson's performed polygon pooled-variances population distribution population mean population standard deviation population variance prediction predictors probability proportion psychologist random sample randomly range raw score regression line reject the null represent researcher sample means sample sizes sample statistics sample variances sampling distribution SAT scores scale scatterplot selected skewed standard error statistical procedures statistical significance subtract Table A.1 tion two-group experiment two-tailed test Type I errors unbiased variable z-test zero