To prepare for this Assignment: Review the Learning Resources and the media programs related to t tests.For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, which you can find by navigating back to your Blackboard Course Home Page. From there, locate the Skill Builder link in the left navigation pane.Also, review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:Independent sample t testPaired sample t testOne sample t testBased on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document. For this Assignment: Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be. Use proper APA format, citations, and referencing for your analysis, research questions, and output. Notes from the instructor: Hi all, Here is an example of an RQ that would work for t-tests: RQ: Is there a difference in performance scores (DV) between males and females (IV)? When writing your hypotheses, remember that you need both a null and alternative hypothesis. The null states that there is no effect. The alternative states that there is an effect. How you write this depends on what type of test you are conducting. If you're conducting a comparison between groups, this might be an example: Ha: There is a difference in performance scores (DV) between males and females (IV). Ho: There is no difference in performance scores (DV) between males and females (IV). When conducting t-tests, the design that you will be using is typically experimental, quasi-experimental, causal-comparative, etc. Be sure to research these different types of designs so that you understand each one and how they differ from each other. When reporting t-tests, you want to use APA style like this: t(df) = xx.xx, p < .xx Here is an example: There was a significant effect for gender, t(54) = 5.43, p < .001, with women receiving higher scores than men. http://my.ilstu.edu/~jhkahn/apastats.html

Competency In this project, you will demonstrate your mastery of the following competency: Apply statistical techniques to address research problems Scenario You are a data analyst for a basketball team (you will use the same team for all three projects). 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 use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You 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/fivethirtye... Directions For 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 One 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: Choose and create a data visualization. Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation. Construct confidence intervals for a population proportion and a population mean. 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. Data Visualization: Identify and interpret your chosen data visualization. Descriptive Statistics: Identify and interpret measures of central tendency and variability. Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals. Conclusion: Summarize your findings and explain their practical implications. To complete this project, you must submit the following: Python Script Your Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help. Summary Report Zip File Word Document Use 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.