# statistics report

Project Two Guidelines and Rubric

Scenario

You are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you perform several hypothesis tests to find the statistical significance of the claims that are being made about your team. This analysis will provide evidence to validate critical claims and get statistically valid findings that will help make key decisions to make the team better in upcoming seasons. You will use the Python programming language to perform statistical analysis and will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.

Note: This data set has been “cleaned” for the purposes of this assignment.

Reference

FiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtyeight-nba-elo-dataset/

Directions

For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.

1. Python      Script: To complete the tasks listed below, open the Project Two      Jupyter Notebook link in the Assignment Information module. Your project      contains the NBA data set and a Jupyter Notebook with your Python scripts.      In the notebook, you will find step-by-step instructions and code blocks      that will help you complete the following tasks:
• Hypothesis       tests for a population parameter
• Hypothesis        tests for a population mean
• Hypothesis        test for a population proportion
• Hypothesis       test for the difference between two population parameters
• Hypothesis        test for difference between two population means
2. Summary      Report: Once you have completed all the steps in your Python      script, you will create a summary report to present your findings. Use the      provided template to create your report. You must complete each of      the following sections:
• Introduction:       Set the context for your scenario and the analyses you will be       performing.
• Hypothesis       tests for the population mean: Discuss all steps of the hypothesis       tests and interpret your results.
• Hypothesis       test for the population proportion: Discuss all steps of the hypothesis       test and interpret your results.
• Hypothesis       test for the difference between two population means: Discuss all       steps of the hypothesis test and interpret your results.
• Conclusion:       Summarize your findings and explain their practical implications.

What to Submit

To complete this project, you must submit the following:

Python Script