A hypothesis test is executed with an alpha = 1% and Ho is rejected. Using the probability model (or frequentist) view of probability discussed in class, what is the probability that the statistical conclusion is wrong?

If we executed the same hypothesis test (with an alpha of 1%) on different random samples of data 10,000 times, approximately how many times would it make the mistake of rejecting Ho when Ho is actually true in the population? Your answer should be an integer.