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

If g(x) = 3x^4 + x^3 - 2x^2 + x + 12, find g(-4).A. 680B. 816C. 744D. 880

A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1. What would you expect p1 and p2 to be? Do you expect either of these proportions to be vastly different from the population proportion of .66? Would you be surprised if p1 was different than p2? Would you be surprised if they were the same or similar? What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone?