1. Suppose that we performed a hypothesis test to see if a bowler had a greater ability to roll a strike following a strike than following a nonstrike and the results were statistically significant. In this context, explain what it means if the results are statistically significant. 2. In an experiment, a coach wanted to see if protein powder helped athletes gain muscle mass. The p-value was 2%. a. What conclusion would you make at the 5% significance level? Explain. b. Would your conclusion change at the 1% significance level? Explain. 3. In Chapter 2, we asked if there was convincing evidence that the Cardinals had a home field advantage. When we used a sample of 16 games, the p-value was 16%, but when we used a sample of 80 games, the p-value was approximately 0%. a. Using the sample of 16 games, what conclusion would you make at a 5% significance level? b. Using the sample of 80 games, what conclusion would you make at a 5% significance level? 4. What is more likely: a 50% shooter taking 40 shots and making 10 in a row, or a 60% shooter taking 40 shots and making 10 in a row? Explain