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| Topic | Description |
|---|---|
| Null and alternative hypotheses | Assistance in formulating and understanding null and alternative hypotheses for hypothesis testing. |
| Types of errors | Guidance on understanding and interpreting Type I and Type II errors in hypothesis testing. |
| One-sample hypothesis tests | Help with conducting hypothesis tests for a single sample, including tests for means, proportions, and variances. |
| Two-sample hypothesis tests | Support in conducting hypothesis tests for comparing two independent or paired samples. |
| Hypothesis testing with categorical data | Aid in hypothesis testing involving categorical data, including tests for independence, homogeneity, and goodness of fit. |
| Chi-square tests | Assistance with chi-square tests for analyzing categorical data and performing hypothesis testing. |
| One-tailed and two-tailed tests | Guidance on conducting one-tailed and two-tailed tests and understanding their implications. |
| P-value | Explanation and interpretation of p-values in hypothesis testing. |
| Hypothesis testing in experimental design | Help in designing and analyzing experiments using hypothesis testing techniques. |
| Non-inferiority and equivalence testing | Support in conducting hypothesis tests to establish non-inferiority or equivalence of treatments or interventions. |
