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.
The first and simplest of hypothesis tests is with a mean compared to a specification or standard.
Hypothesis Testing (article)
Hypothesis Tests for Proportion (article)
Degradation Hypothesis (article)
1-34. To compare sample means, which statistical distribution should be used?
(D) t test
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