Hi! I already completed the python portion, but a summary paper is needed based on the data the python scripts spit out. Below is information on the summary needed. Attached is rubric, summary report template (Must be in APA) and python data.CompetencyIn this project, you will demonstrate your mastery of the following competency:Perform hypothesis testing to address an authentic problemScenarioYou 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/fivethirtye...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.

Math 140 Project: Exploring relationships between two variables In this project, you will search two quantitative variables that may have a linear correlation. You will describe and analyze the relationship between the variables the way it is explained in Chapter 4 (4.1-4.2). You will, then, create a written report including all 4 parts below and turn in by the stated due date according to the guidelines provided in this paper. Required components:1. Understand the Problema) Search for two quantitative variables that may have a linear correlation from the internet, in Canvas or any other media. You may also get the data by surveying 15-20 people. Possible websites to look for data: You may obtain the data in StatCrunch.com: Click explore and click Data. http://www.city-data.com/ for demographic information about cities http://www.cde.ca.gov/ta/ac/ap/ for academic performance index. http://graphics.latimes.com/responsivemap-pollutio... for pollution burdens. Website where you found the data: b) Use your intuition and/or experience to predict and write down the descriptions of the possible relationship: Form, Direction, Strength, and outlier, etc. c) Develop a question that address a possible linear correlation between two variables. State the question(s):Identify two variables from the data that are relevant to answer the questions: 2. Analyze the paired Dataa) What is the likely explanatory variable in the paired data?b) Draw a scatter plot of the data. Does the graph show a linear relationship between the variables? Comment on the direction and strength appeared on the scatter diagram.c) Compute the linear correlation coefficient between the two variables and interpret the meaning specifically for your data. d) Find the equation of the least-squares regression line.e) Interpret the slope and y-intercept, if appropriate. f) Use the equation of the least-squares regression line to predict the outcome (y-value) for one of the x-values in your data.g) Find the residual for the x-value you chose in part (f). Explain what it means when a residual is positive or negative.3. Draw Conclusions a) What do the results indicate about the relationship between two variables? b) Do you think there is a causal relation between the variables? Explain. c) Relate the comments you made in step 1b before analyzing the data by commenting on both of the following: How your expectation differs (or do not differ) from the actual results? If it is relevant or meaningful in context, think of a way that these results could be used in practice.4. Summarize Write a short summary of the main findings that you discovered. Math 140 Project: Exploring relationships between two variables -Score Sheet (Total 50 points)Name:________________________________________ Date:__________________________________Title of the project: ____________________________________________________________________Website where you found the data:_______________________________________________________Project Grade: __________________________________

I know this is probably not your average Studypool assignment, but it's actually not too hard! It's a Practical Math semester exam, the instructions are attached, and I'm willing to pay 40 bucks for it, so it's not too bad for a 1 hour test!!! It's general practical math stuff, if you need more info you can browse and navigate through the provided website to understand more about the provisions of the test before actually doing it, there's also many lessons that can be accessed, and the course syllabus (attached in the document)