The larger the p-value,the more likely you are to reject the null hypothesis.

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Quizplus · Accepted Answer

This statement is false. In hypothesis testing, the p-value represents the probability of observing a test statistic as extreme or more extreme than the one calculated from the sample data, assuming the null hypothesis is true. If the p-value is large (e.g. >0.05), it suggests that the data is consistent with the null hypothesis, and we would not reject it. If the p-value is small (e.g. <0.05), it suggests that the data is not consistent with the null hypothesis, and we would reject it in favor of the alternative hypothesis.

The Larger the P-Value,the More Likely You Are to Reject