A sports therapist was interested in evaluating whether stretching immediately before an event was better for sprinters than no stretching. She tested the null hypothesis that average sprinting times among athletes randomized to stretch before an event is equal to average sprinting times among athletes randomized to not stretch before an event. She found a p-value of 0.03. If she uses a 1% significance level instead of the usual 5% significance level, which of the following statements will be false? There is a 1% chance that she falsely concludes that stretching has a benefit if, in fact, it does not. She will fail to reject the null hypothesis. O The probability of a Type I error will decrease. There is a 1% chance that she falsely concludes that stretching has no benefit if, in fact, it does