ENTREPRENEURSHIP

Detailed explanation-1: -A p-value measures the probability of obtaining the observed results, assuming that the null hypothesis is true. The lower the p-value, the greater the statistical significance of the observed difference. P-value can serve as an alternative to-or in addition to-preselected confidence levels for hypothesis testing.

Detailed explanation-2: -The p-value can be perceived as an oracle that judges our results. If the p-value is 0.05 or lower, the result is trumpeted as significant, but if it is higher than 0.05, the result is non-significant and tends to be passed over in silence.