Hypothesis Testing Reconsidered
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portes grátis
Hypothesis Testing Reconsidered
Francis, Gregory
Cambridge University Press
05/2019
75
Mole
Inglês
9781108730716
15 a 20 dias
150
Descrição não disponível.
1. Introduction; 2. The basics of hypothesis testing; 3. Robustness of the Two-sample t-test; 4. Adding data increases the Type I error rate: optional stopping; 5. ANOVA can be extremely conservative; 6. ANOVA handles only one type of multiple testing problem; 7. Power analyses should consider all relevant tests; 8. The only p-value you can plan for is zero; 9. Subjects and trials do not trade off evenly; 10. Replication is a poor way to control Type I error; 11. Identifying improper methods through excess success; 12. Preregistration may be useful but is not necessary for good science; 13. Hypothesis testing is a variation of signal detection theory; 14. Using signal detection theory to analyze reported results of hypothesis testing; 15. Conclusions.
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1. Introduction; 2. The basics of hypothesis testing; 3. Robustness of the Two-sample t-test; 4. Adding data increases the Type I error rate: optional stopping; 5. ANOVA can be extremely conservative; 6. ANOVA handles only one type of multiple testing problem; 7. Power analyses should consider all relevant tests; 8. The only p-value you can plan for is zero; 9. Subjects and trials do not trade off evenly; 10. Replication is a poor way to control Type I error; 11. Identifying improper methods through excess success; 12. Preregistration may be useful but is not necessary for good science; 13. Hypothesis testing is a variation of signal detection theory; 14. Using signal detection theory to analyze reported results of hypothesis testing; 15. Conclusions.
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