Statistical Inference: Hypothesis Testing
The logic of a test; Type I and Type II errors, power and sample size; the Neyman-Pearson lemma and uniformly most powerful tests; the p-value, its uniformity under the null and its duality with confidence intervals; the t-test family; chi-square tests for counts; and multiple testing, Bonferroni and the post-test probability of a true effect.0/14 masteredFive independent tests are run at α=0.05 with all nulls true. Compute the probability of at least one false rejection, to 4 decimal places. Review the explanation for this topic →Type your answer — press Enter to checkEnter your answer