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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.

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