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E5: Confidence intervals and Hypothesis Testing with Matched Pairs A college football coach was interested in whether the college's strength development class increased his players' maximum lift (in pounds) on the bench press exercise. He asked 34 of his players to participate in a study. The amount of weight they could each lift was recorded before they took the strength development class. After completing the class, the amount of weight they could each lift was again measured. The data showed that *d = 21.3 and sa-46.7. Note: There is no partial credit on parts (b) through (e) if you have an incorrect null and alternate hypothesis in part (a). There is no partial credit on part (e) if you have an incorrect p-value in part (d). Come to DSC 212 and get help on this LOI Question 6: Can the college football coach conclude that the college's strength development class increased his player's maximum lift on the bench press? a. Write a null and alternate hypothesis in both words and symbols to test the claim. b. Find a 95% confidence interval to test your hypothesis. C. Write a conclusion summarizing your findings. In your summary explain how you used the confidence interval to reject the null hypothesis or fail to reject the null hypothesis.

d. Find the p-value (or significance level) associated with your hypothesis test, rounded to 3 decimal places. Include the Excel =NORM.DIST code you used. Round inputs into =NORM.DIST to 3 decimal places. NOTE: you may need to use the norm.dist output or if you may need to use its complement. e. Write a conclusion summarizing your findings. In your summary, explain how you used the p-value to reject or fail to reject the null hypothesis. Round all values to 3 decimal places.