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Sagot :
A test's large p-value does not necessarily mean that the null hypothesis should be accepted.
In a test, a low P-value will favor rejecting the null hypothesis.
The P-value approach evaluates whether something is "likely" or "unlikely," assuming that the null hypothesis is correct, by calculating the probability of observing a test statistic that is more extreme in the direction of the alternative hypothesis than the one actually seen. If the P-value is low, such as less than, it is "unlikely" (or equal to) α.
The null hypothesis is disregarded in favor of the alternative hypothesis if the P-value is less than (or equal to) α. Additionally, the null hypothesis is not disproved if the P-value is higher than α.
As a result, the right response is false.
To learn more about the null hypothesis, refer:-
https://brainly.com/question/28920252
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