the questions that need to be answered are in Descriptives file please answer all the questions askedother attachments are for question 2 and 3hypothesis testing descriptive stats frequencies

This assignment is intended to test your knowledge of how to appropriately compare two means. The data file (attached file: data_file.xlsx) has 50 randomly selected student debt amounts from 2018and 50 randomly selected student debt amounts from 2013.The data fields included are as follows:Debt in 2018 (dollars)Debt in 2013 (dollars)A university representative wants to know whether the sample data provide enough evidence to believe there is a difference between the debt amounts in the two years. The null and alternative hypotheses are shown below.Null Hypothesis: Mean Student Debt in 2018 is equal to Mean Student Debt in 2013Alternative Hypothesis: Mean Student Debt in 2018 is not equal to Mean Student Debt in 2013Complete the following tasks:1.Run an F-test for two sample variances using an alpha level of 0.05 and answer the following questions:Which of the two years has the higher mean? What are the values?Which of the two years has the higher variance? What are the values?Based on the statistical output, would you conclude that variances are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.2.Run an appropriate t-test (assuming either equal or unequal variances based on your conclusion in 1c above) using an alpha level of 0.05and answer the following questions:Is this a one-tailed or two-tailed test? Provide an appropriate/authoritative explanation that fully explains the choice.Based on the statistical output, would you conclude that means are equal or not equal? Provide an appropriate/authoritative explanation leveraging the statistical output.Using everyday language that could be understood by parents and students, what does the analysis say about student debt in 2018versus 2013? Provide an appropriate/authoritative explanation leveraging the statistical output (e.g., use confidence level, rationale, etc.)Make sure that you run all the required analyses using the Data Analysis Toolpak in Excel and SUBMIT the Data Analysis Output along with the Data file in a Single Excel workbook that shows all your output. You should also submit a separate Word document that fully, and professionally, responds to each question.Run all required analyses and submit them along with the data file in a single Excel workbook that shows all your output and provide responses to all of the questions in a Word document.Resourceshttps://www.youtube.com/watch?v=qI_RmXU1tOYhttps://www.youtube.com/watch?v=OHHhzLHakKAhttps://www.youtube.com/watch?v=L-jfenou5hI

Part ISecondary Data Analysis and SummaryFor this assignment, students will use Microsoft Excel to analyze selected Framingham Heart Study data. Students will perform various statistical data analyses to answer specific research questions. Students will provide appropriate tables that summarize the analysis. After the analysis, the students will provide a brief summary of each statistical result tables that were created from the data. Included will be a discussion of the appropriateness of the data collection methods used in the study in comparison to other methods. The student will then summarize the data analysis as a whole to not exceed 300 words.Part IIInterpretation & Oral PresentationFor this assignment, students will utilize the information from Part I Case Study Analysis to create an oral presentation in which they summarize and interpret selected data from the Framingham Heart Study. Interpreting data is a crucial part of practical biostatistics that shows mastery of data evaluation and implications for application. In both the summary paper (Part I) and oral presentations (Part II), students will describe the study sample based on patient characteristics, compare risk factors among men and women, determine which characteristics are associated with BMI through simple and multivariable linear regression, and determine if there are significant differences in risk factors between persons with and without prevalent coronary heart disease (CHD). Included will be a discussion of the appropriateness of the data collection methods used in comparison to other methods that could have been used.Data are to be concisely interpreted and the resulting summary paper (Part I) cannot exceed 300 words in length for each question. The oral presentation may be conducted using audio, YouTube, Adobe Spark, PowerPoint, or another form of communication file. Video files are optional. The student will use the provided rubric to evaluate/grade the case study and report the findings in both written and oral formats.Please see attachements for more info