This book emphasizes the statistical concepts and assumptions necessary to describe and make inferences about real data. Throughout the book the authors encourage the reader to plot and examine their data, find confidence intervals, use power analyses to determine sample size, and calculate effect s
Research Design and Statistical Analysis
✍ Scribed by Jerome L. Myers, Arnold D. Well
- Publisher
- Lawrence Erlbaum Associates
- Year
- 2003
- Tongue
- English
- Leaves
- 781
- Edition
- 2nd ed
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Adopting an intuitive, informal style, this text emphasizes the statistical concepts and assumptions needed to describe and make inferences about real data. The volume's 21 chapters address topics including univariate distributions; the chi-square and F distributions; contrasts among means; trend analysis; repeated- measures designs; hierarchical designs; Latin squares and related designs; correlation and bivariate regression; and multiple regression. Includes major content and organizational revisions from the previous edition. Suitable for graduate and advanced undergraduate students learning about data analysis, as well as for researchers.
✦ Subjects
Математика;Теория вероятностей и математическая статистика;Математическая статистика;Прикладная математическая статистика;
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