See Problem below

One concern in Major League Baseball is that the time to play games has become too long. There have been recent efforts to enforce rules that will speed up the game. In the data set Baseball Games we have data reporting a set of games that were played on a given day, where the columns, in order, report the game index, the teams playing the game, the league (either AL or NL), the margin of victory, the number of pitchers, the attendance at the game, and the amount of time that the game took, in minutes. We will conduct a statistical test to determine if the average length of games is less than 213 minutes at the 99% condence level. a. State the null hypothesis. b. State the alternative hypothesis. c. Can we use a parametric test? Explain in detail. d. What is the pvalue for the statistical test? Show all steps. e. At a condence level of 99%, would you reject or fail to reject the null hypothesis? f. If you conducted a t-test, use the 513001: package to conduct the same hypothesis test. If you conducted a bootstrap test using vBoot, do a t-test. Compare the results. How do they differ? g. The League is mostly concerned that at least 80% of games will conclude within 4 hours. They would like to make the statement '80% of our games conclude within 4 hours.' Based on this data set, conduct a hypothesis test to evaluate if this claim is true at 90% and 98% condence