OBJECTIVE FORESTRY

Detailed explanation-1: -If your p-value is less than your selected alpha level (typically 0.05), you reject the null hypothesis in favor of the alternative hypothesis. If the p-value is above your alpha value, you fail to reject the null hypothesis.

Detailed explanation-2: -The p-value only tells you how likely the data you have observed is to have occurred under the null hypothesis. If the p-value is below your threshold of significance (typically p < 0.05), then you can reject the null hypothesis, but this does not necessarily mean that your alternative hypothesis is true.

Detailed explanation-3: -If p-value ≤ 0.05: This means that the observed result is statistically significant (our data are so unusual assuming that there is no true effect) If p-value > 0.05: This means that the result is not statistically significant (our data are not unusual assuming that there is no true effect) 19-Feb-2020