Prof. Johnson conducts a hypothesis test on whether the proportion of all UBC students who bike to school (denoted as $p )$ equals 30%. Specifically, Prof. Johnson has $H_0: p = 0.3$ versus $H_A: p \ne 0.3$. He obtains a $P$-value of 0.01. On the other hand, Prof. Smith would like to test if there is sufficient evidence to support that $p$ is greater than 0.3 at the 10% significance level. Based on Prof. Johnson's result, will the null hypothesis of Prof. Smith's test be rejected?

A. No.
B. Yes.
C. There is insufficient information to tell.