True. A true hypothesis will not be accepted but a true null hypothesis will be rejected if the critical value is greater than the value of the test statistic
What is critical value?
A crucial value is a point on the distribution of the null hypothesis' test statistic that designates a range of values that demand the null hypothesis be rejected. The critical or rejection zone refers to this collection. One-sided tests often have a single critical value, while two-sided tests typically have two critical values. The critical values are chosen so that the significance level (abbreviated as or alpha) is equal to the likelihood that the test statistic will have a value in the rejection zone of the test if the null hypothesis is true.
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