I have questioned two separate discord servers on what current MLB player is most likely to break the all-time strikeout record. With strikeout rates in the MLB at an all-time high over the past 4 years, there is reason to believe that a current player has a shot at breaking Reggie Jackson's strikeout record 2597. However, the question that also lingers is the players' productivity, longevity, and years in the league. Based on those projections, it can be determined which one will break this barrier first. To make sure the data is relatively clean in terms of data, the players with the current highest K% were selected for this survey. They are as follows: Joey Gallo, M Giancarlo Stanton, Aaron Judge, Bryce Harper,

The first survey was given to Discord Server A yielded a total sample size(n) of 246. The second survey was given to Discord Server B which yielded a sample size of 278(n). Each was given on different days of the week and each was checked to make sure the same user did not vote on both surveys. It is also to be noted that each was open for 12hours each.

The survey contained each player's current years in the league, current career strikeouts, and K9% rate. Reggie Jackson's strikeout total was also included with these stats for comparison. Based on these factors, the results were the following:

Server A vs. Server B= n(246) vs. n(278)

Joey Gallo n(178) A vs. Joey Gallo n(114) B

Aaron Judge n(46) A vs. Aaron Judge n(126) B

Giancarlo Stanton n(14) A vs. Giancalro Stanton n(7) B

Bryce Harper n(8) A vs. Bryce Harper n(31) B

I have conducted this data, I just need someone to calculate it now. Apparently, business marketing has stats in it. Anyway, the requirements that I need are Null and Alternate Hypotheses, 95% confidence interval for the data, a graph that best suits the data, and basically a statistical analysis. This also needs a conclusion on the interpretation of the data.

Student thoroughly and accurately interprets the meaning of the graphical and numerical summaries in the context of the data. In addition, the student identifies any generalizations that may be drawn about the population from which the sample was drawn.

The student has correctly summarized the data. Graphs and calculations are neat and accurate. The team has done an extensive analysis of the data.