Practice question · Select all that apply
Select every statement that is TRUE about hypothesis testing.
Hints
- Two options are misconceptions - one about what a p-value is, one about what lowering alpha does.
- A p-value is not P(null true); a stricter alpha makes rejection HARDER, not easier.
Show the answer
- B. A confidence interval that excludes the null value indicates a significant result.
- D. A two-tailed test is more conservative than a one-tailed test at the same alpha.
- E. A Type I error is rejecting a null hypothesis that is actually true.
Why
Type I = rejecting a true null, two-tailed is more conservative, and a CI excluding the null means significance - all true. A p-value is not the probability the null is true, and a smaller alpha raises the bar for rejection, making it harder.
Practise Hypothesis Testing and P-Values
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