This question should be completed using JMP: Data Set: You will use the information given to your own data table in JMP. FC Cincinnati is the newest sporting team in Cincinnati, Ohio. They began as a USL team in 2016 and submitted their expansion bid to MLS in 2017, in hopes of becoming a Major League Soccer team. Cincinnati was selected to be an MLS team and began it's first MLS season in early 2019. One thing the MLS looks at when determining what teams to offer bids to is the current record of each team. In their inaugural season (2016), FC Cincinnati had 16 wins, 6 losses, and 8 ties. For the purpose of this problem, ignore the ties. MLS wants to determine if FC Cincinnati is a "winning" soccer team-is there evidence that the true proportion of all games this team will win is greater than 0.5?

1. a new data table that has a single column (game outcome) that represents the outcome of each game (16 wins and 6 losses). Include a screenshot of this data table. (2 point)

2. make and interpret a 90% confidence interval for the true proportion of all games that FC Cincinnati will win in the long run. Based on this interval, does it seem plausible that FC Cincinnati is a winning team (win more than 50% of their games)? Be sure to include a screenshot of your Confidence Interval output from JMP and clearly mark which values represent the desired confidence interval. (5 points)

3. Conduct a hypothesis test at the 0.05 significance level to determine if FC Cincinnati is a winning team.

1. What are they hypotheses? (3 points)

2. What is the significance level? (2 point)

3. What is the test statistic? If the test statistic is not given by the software, simply state this. (2 points)

4. What is the p-value? (2 points)

5. What is the decision? (2 points)

6. What is the conclusion? (2 points)

7. Include a screenshot of your JMP output for the hypothesis test.

I don't have access to JMP