If a level of significance is less than or equal to the p-value,the null hypothesis is not rejected.

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This statement is true. The level of significance represents the maximum probability of rejecting the null hypothesis when it is actually true. The p-value represents the probability of obtaining a test statistic as extreme or more extreme than the one observed, assuming that the null hypothesis is true. If the level of significance is less than or equal to the p-value, it means that the observed test statistic is unlikely to have occurred by chance alone, and the null hypothesis is not rejected.

If a Level of Significance Is Less Than or Equal