II. Probability and Statistics for Reliability
B. Statistical inference
3. Hypothesis testing (parametric and non-parametric) (Evaluate)
Apply hypothesis testing for parameters such as means, variance, proportions, and distribution parameters. Interpret significance levels and Type I and Type II errors for accepting/rejecting the null hypothesis.
A good use of hypothesis testing is to make comparisons.
Additional References
Equal Variance Hypothesis (article)
Hypothesis un-equal variance (article)
Paired-Comparison Hypothesis Tests (article)
Two Proportions Hypothesis Testing (article)
Two samples variance hypothesis test (article)
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