Hypothesis testing - P-value

Which of the following represents a correct statement about the p-value?

A. The p-value offers less precise information than does the rejection points approach.
B. A larger p-value provides stronger evidence in support of the alternative hypothesis.
C. A p-value less than the specified level of significance leads to rejection of the null hypothesis.

C is correct. The p -value is the smallest level of significance at which the null hypothesis can be rejected for a given value of the test statistic. The null hypothesis is rejected when the p -value is less than the specified significance level.

I understand why C is correct, but i dont understand why B is false. My understanding is the larger the p-value the more biased torward rejecting H0 which means supporting the Ha

A larger p-value corresponds to a test statistic closer to the hypothesized value.

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