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.Please see RUBRIC attached. Tutor will need to use my CODIO Account

Write a 700- to 1,050-word reflective essay about your experience applying quantitative analysis methods and the knowledge you have gained from this course. This should be a professional paper with citations to support your work. Topics of each week five-stage iterative process graphical representation of data measures of central tendency. Mean,Median,Mode Measure of Variation Normal Distribution. Table Relationships Sampling Designs Confidence Intervals. Estimation Errors.