Statistics for Psychology | Sixth Edition | By Pearson(English, Paperback, Elliot J. Coups, Elaine N. Aron, Arthur Aron) | Zipri.in
Statistics for Psychology | Sixth Edition | By Pearson(English, Paperback, Elliot J. Coups, Elaine N. Aron, Arthur Aron)

Statistics for Psychology | Sixth Edition | By Pearson(English, Paperback, Elliot J. Coups, Elaine N. Aron, Arthur Aron)

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Statistics for Psychology, 6th edition places definitional formulas center stage to emphasize the logic behind statistics and discourage rote memorization. Each procedure is explained in a direct, concise language and both verbally and numerically.Features: • Provides a concise summary of definitional formulas mathematically, verbally, and visually so students can understand the logic behind the procedure. The authors emphasizes on accessibility for all readers. • Gives examples of how a statistical method is reported in current journal articles. • Engages in the most current statistical theory and application. • “How are you Doing” exercises for students serves as a checkpoint for each chapter. • SPSS screen shots are included within the text to further facilitate learning. Examples in the text show students how to compute SPSS procedures and include a worked out example with screen shots. Table of Contents: Chapter 1. Displaying the order in a group of numbersChapter 2. Central tendency and variabilityChapter 3. Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probabilityChapter 4. Introduction to hypothesis testingChapter 5. Hypothesis testing with means of samplesChapter 6. Making sense of statistical significance: Effect size and statistical powerChapter 7. Introduction to the t test: Single sample and dependent meansChapter 8. The t test for independent meansChapter 9. Introduction to the analysis of varianceChapter 10. Factorial analysis of varianceChapter 11. CorrelationChapter 12. PredictionChapter 13. Chi-square testsChapter 14. Strategies when population distributions are not normal: Data transformations and rank-order testsChapter 15. Integration and the general linear model and Making sense of advanced statistical procedures in research articles