A teacher giving a true/false test wants to make sure her students do better than they would if they were simply guessing, so she forms a hypothesis to test this. Her null hypothesis is that a student will get 50% of the questions on the exam correct. The alternative hypothesis is that the student is not guessing and should get more than 50% in the long run.

H0: p = 0.50

Ha: p > 0.50

A student gets 30 out of 50 questions, or 60%, correct. The p-value is 0.079. Explain the meaning of the p-value in the context of this question.