This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research.
This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Geoff Cumming is a professor emeritus of La Trobe University, Melbourne, Australia, and has been teaching statistics for over 50 years. Robert Calin-Jageman is a professor of psychology and the neuroscience program director at Dominican University, River Forest, IL, USA, and has been teaching and mentoring undergraduate students since 2007.
Inhaltsangabe
1. Asking and Answering Research Questions 2. Research Fundamentals: Don't Fool Yourself 3. Picturing and Describing Data 4. The Normal Distribution and Sampling 5. Confidence Intervals and Effect Sizes 6. p Values, Null Hypothesis Significance Testing, and Confidence Intervals 7. The Independent Groups Design 8. The Paired Design 9. Meta-Analysis 10. Open Science and Planning Research 11. Correlation 12. Regression 13. Frequencies, Proportions, and Risk 14. Extended Designs: One Independent Variable 15. Extended Designs: Two Independent Variables 16. Future Directions
1. Asking and Answering Research Questions 2. Research Fundamentals: Don't Fool Yourself 3. Picturing and Describing Data 4. The Normal Distribution and Sampling 5. Confidence Intervals and Effect Sizes 6. p Values, Null Hypothesis Significance Testing, and Confidence Intervals 7. The Independent Groups Design 8. The Paired Design 9. Meta-Analysis 10. Open Science and Planning Research 11. Correlation 12. Regression 13. Frequencies, Proportions, and Risk 14. Extended Designs: One Independent Variable 15. Extended Designs: Two Independent Variables 16. Future Directions
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