Answer:
Critical Value
Explanation:
The critical value separates the region of rejection from the region of non rejection.
We define critical values as:
- Critical value helps us to give the decision rule for the rejection or acceptance of null hypothesis.
- Critical value separates the acceptance region from the rejection region.
- These are referred to as cut-off values that define regions where the test statistic is unlikely to lie.
- The critical value depends on the kind of test being performed and the significance level.