<P> In statistical hypothesis testing , a result has statistical significance when it is very unlikely to have occurred given the null hypothesis . More precisely , the significance level defined for a study , α , is the probability of the study rejecting the null hypothesis , given that it were true ; and the p - value of a result , p , is the probability of obtaining a result at least as extreme , given that the null hypothesis were true . The result is statistically significant , by the standards of the study , when p < α . </P>
<P> In statistical hypothesis testing , a result has statistical significance when it is very unlikely to have occurred given the null hypothesis . More precisely , the significance level defined for a study , α , is the probability of the study rejecting the null hypothesis , given that it were true ; and the p - value of a result , p , is the probability of obtaining a result at least as extreme , given that the null hypothesis were true . The result is statistically significant , by the standards of the study , when p < α . </P>
when do we say a result is statistically significant
when do we say a result is statistically significant
when it is very unlikely to have occurred given the null hypothesis
when it is very unlikely to have occurred given the null hypothesis