Note: Replace the bracketed text on page one (the cover page) with your personal information.

1. Introduction: Problem Statement

Discuss the statement of the problem in terms of the statistical analyses that are being performed. In your response, you should address the following questions:

• What is the problem you are going to solve?
• What data set are you using?
• What statistical methods will you be using to do the analysis for this project?

2. Introduction: Your Team and the Assigned Team

In this project, you picked a team and you were assigned a team to do comparative analysis.

See Steps 1 and 2 in the Python script to address the following items:

• What team did you pick and what years were picked to do the analysis?
• What team and range of years were you assigned for the comparative study? (Hint: This is called the assigned team in the Python script.) Present this information in a formatted table as shown below.

Table 1. Information on the Teams

9. Confidence Intervals for the Average Relative Skill of All Teams in the Assigned Teams Years

In the Python script, you calculated a 95% confidence interval for the average relative skill of all teams in the league during the years of the assigned team. Additionally, you calculated the probability that a given team in the league has a relative skill level less than that of the assigned team.

See Step 9 in the Python script to address the following items:

• Report the confidence interval in a formatted table as shown below.

Table 5. Confidence Interval for Average Relative Skill of Teams in Assigned Teams Years

Confidence Level (%)	Confidence Interval
XX% (for example, 95%)	(X.XX, X.XX) *Round off to 2 decimal places.

• Provide a detailed interpretation of the confidence interval in terms of the average relative skill of teams in the assigned teams range of years.
• Discuss how your interval would be different if you had used a different confidence level.
• How does this confidence interval compare with the previous one? What does this signify in terms of the average relative skill of teams in the range of years that you picked versus the average relative skill of teams in the assigned teams range of years?

10. Conclusion

Describe the results of your statistical analyses clearly, using proper descriptions of statistical terms and concepts.

• What is the practical importance of the analyses that were performed?
• Describe what these results mean for the scenario.

11. Citations

You were not required to use external resources for this report. If you did not use any resources, you should remove this entire section. However, if you did use any resources to help you with your interpretation, you must cite them. Use proper APA format for citations.

Insert references here in the following format:

Author's Last Name, First Initial. Middle Initial. (Year of Publication). Title of book: Subtitle of book, edition. Place of Publication: Publisher.

3. Data Visualization: Points Scored by Your Team

In the Python script, you created a visualization for the distribution of points scored by your team.

See Step 3 in the Python script to address the following items in a paragraph response:

• In general, how is data visualization used to study data distributions and trends?
• In this activity, you were asked to pick one of the two plots that best describes the data distribution of the variable for your team. Include a screenshot of this plot in your report.
• Why did you pick this plot? Explain.
• What can you say about the distribution of the variable by visually inspecting this plot? What does this signify?