You are a data analyst for a basketball team who has been tasked with analyzing a large historical dataset to help the team's management make key decisions to improve performance. You will conduct several hypothesis tests using Python on the dataset to find statistical significance and validate claims about the team. These findings will help identify areas where the team can improve. You must submit the Python script with your analysis and calculations, as well as a 3-5 page summary report explaining your findings and their practical implications for the non-technical management to understand.

1. Statistics report | Management homework help
Project Two Guidelines and RubricScenarioYou 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.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight
NBA Elo dataset. Kaggle. Retrieved from
https://www.kaggle.com/fivethirtyeight/fivethirtyeight-nba-elo-dataset/DirectionsFor this
project, you will submit the Python script you used to make your calculations and a
summary report explaining your findings.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
parameterHypothesis tests for a population meanHypothesis test for a population
proportionHypothesis test for the difference between two population
parametersHypothesis test for difference between two population
meansSummary 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 SubmitTo complete this project,

2. you must submit the following:Python ScriptC:UserskinghDownloadsProject Two Jupyter
Script.htmlSummary Report Zip FileUse the provided template to create your summary
report. The template contains guiding questions to help you complete each section. Be sure
to remove these questions before submitting your report. Your summary report should be
submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover
page and APA citations for any sources used. Use double spacing, 12-point Times New
Roman font, and one-inch margins.