OBJECTIVE FORESTRY

Detailed explanation-1: -If the p-value is greater than alpha, you accept the null hypothesis. If it is less than alpha, you reject the null hypothesis.

Detailed explanation-2: -The professor would say that if the p-value is less than or equal to the level of significance (denoted by alpha) we reject the null hypothesis because the test statistic falls in the rejection region.

Detailed explanation-3: -If the p-value is less than the significance level, then you reject the null hypothesis. If the p-value is not less than the significance level, then you fail to reject the null hypothesis. You can use the following clever line to remember this rule: “If the p is low, the null must go.”