Journal of the American Statistical Association · 1996 · 2.4K citations · 0 references
Natural SciencesBehavioral SciencesPsychologyExperimental DesignStatistical ComputingStatisticsData AnalysisDescriptive StatisticsHypothesis TestingInferential StatisticsStatistical AnalysisStatistical InferenceBehavioral Data AnalysisDescriptive Statistics TablesNonparametric TestsOne-sample Hypothesis TestOne-sample TestsRepeated Measures AnalysisRepeated Measures AnovaStatistical Testing
The book covers foundational statistical concepts, including descriptive measures, inferential logic, and practical applications with tables and computer tools. It presents inferential methods such as t‑tests, ANOVA variants, and nonparametric tests, integrating them into a coherent framework. Getting started: why study statistics.
Getting started: why study satistics? basic concepts and ideas. Descriptive statistics: frequency distributions and graphs summary measures relative measures and the normal curve linear correlation linear regression. Concepts of inferential statistics: sampling distributions logic of hypothesis testing. Methods of inferential statistics: one-sample t statistic - when a t ratio is not practical two-sample t tests analysis of variance two-way analysis of variance repeated-measures analysis of variance nonparametric tests bringing it all together. Appendices: statistical tables answers to selected review questions computer applications of statistics.