This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.
This textbook introduces statistics using the General Linear Model, a method that shows the interconnections among statistical concepts. The second edition is for undergraduate social science majors in a one-semester statistics course and provides timely updates, building on the success of the first edition.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Russell T. Warne is an associate professor of psychology at Utah Valley University, USA, where he has taught since 2011. He has won awards from the Southwest Educational Research Association, National Association for Gifted Children, and Mensa. He is an associate editor for the Journal for the Education of the Gifted and serves on the editorial boards for Intelligence, the Journal of School Psychology, Gifted Child Quarterly, and the Journal of Psychoeducational Assessment. He is also the author of In the Know: Debunking 35 Myths About Human Intelligence (Cambridge University Press).
Inhaltsangabe
1. Statistics and Models 2. Levels of Data 3. Models of Central Tendency and Variability 4. Visual Models 5. Linear Transformations and z-Scores 6. Probability and the Central Limit Theorem 7. Null Hypothesis Statistical Significance Testing and z-Tests 8. One-Sample t-Tests 9. Paired-Samples t-Tests 10. Unpaired Two-Sample t-Tests 11. Analysis of Variance 12. Correlation 13. Regression 14. Chi-Squared Test 15 Applying Statistics to Research, and Advanced Statistical Methods.
1. Statistics and Models 2. Levels of Data 3. Models of Central Tendency and Variability 4. Visual Models 5. Linear Transformations and z-Scores 6. Probability and the Central Limit Theorem 7. Null Hypothesis Statistical Significance Testing and z-Tests 8. One-Sample t-Tests 9. Paired-Samples t-Tests 10. Unpaired Two-Sample t-Tests 11. Analysis of Variance 12. Correlation 13. Regression 14. Chi-Squared Test 15 Applying Statistics to Research, and Advanced Statistical Methods.
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