Содержание
- 2. Steps in Hypothesis Testing
- 3. 1st step: Stating the hypotheses
- 5. 2nd step: Identifying the appropriate test statistic and its probability distribution
- 6. 3rd: Specifying the significance level The level of significance reflects how much sample evidence we require
- 7. 4th: Stating the decision rule A decision rule consists of determining the rejection points (critical values)
- 8. 5th: Collecting the data and calculating the test statistic Collecting the data by sampling the population
- 9. p-Value The p-value is the smallest level of significance at which the null hypothesis can be
- 10. Tests Concerning a Single Mean For hypothesis tests concerning the population mean of a normally distributed
- 12. The z-Test Alternative
- 14. Tests Concerning Differences between Means When we want to test whether the observed difference between two
- 17. Tests Concerning Mean Differences In tests concerning two means based on two samples that are not
- 20. Tests Concerning a Single Variance In tests concerning the variance of a single, normally distributed population,
- 21. Rejection Points for Hypothesis Tests on the Population Variance.
- 22. Tests Concerning the Equality (Inequality) of Two Variances For tests concerning differences between the variances of
- 25. NONPARAMETRIC INFERENCE A parametric test is a hypothesis test concerning a parameter or a hypothesis test
- 26. Tests Concerning Correlation: The Spearman Rank Correlation Coefficient The Spearman rank correlation coefficient is essentially equivalent
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