The pvalue is the same as alpha, the level of significance of
the hypothesis test.

The level of significance of the test is the probability of type I error that does not depend on the test statistic value and is defined as the probability of rejecting the null hypothesis given that the null hypothesis is true.
pvalue on the other hand depends on the test statistic and is the probability of getting the required test statistic given that the null hypothesis is true.
A hypothesis test is significant if the pvalue is lower than the level of significance in which case we reject the null hypothesis. Therefore the pvalue and the level of significance are not the same.
Therefore the given statement is False here.
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