OBJECTIVE FORESTRY

Detailed explanation-1: -Small p-values provide evidence against the null hypothesis. The smaller (closer to 0) the p-value, the stronger is the evidence against the null hypothesis. If the p-value is less than or equal to the specified significance level , the null hypothesis is rejected; otherwise, the null hypothesis is not rejected.

Detailed explanation-2: -If the calculated p-value turns out to be less than 0.05, the null hypothesis is considered to be false, or nullified (hence the name null hypothesis). And if the value is greater than 0.05, the null hypothesis is considered to be true.

Detailed explanation-3: -If the p-value is lower than a pre-defined number, the null hypothesis is rejected and we claim that the result is statistically significant and that the alternative hypothesis is true. On the other hand, if the result is not statistically significant, we do not reject the null hypothesis.