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Using the CollegeStudentData.sav file, do the following problems. Print your out

by | Apr 28, 2022 | Statistics | 0 comments

 

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Using the CollegeStudentData.sav file, do the following problems. Print your outputs after typing your interpretations on them. Please circle the key parts of the output that you use for your interpretation.9.1 Is there a significant difference between the academic tracks on average student height? Explain. Provide a full interpretation of the results.9.2 Is there a difference between the number of hours students study and the hours they work? Also, is there an association between the two?9.3 Write another question that can be answered from the data using a paired sample t test. Run the t test and provide a full interpretation.9.4 Are there differences between fast track and regular track students in regard to the average number of hours they (a) study, (b) work, and (c) watch TV? Hours of study is quite skewed so compute an appropriate nonparametric statistic.The problems require the use of “academic track.” This variable is not in the data set given (CollegeStudentData.sav). To resolve this, you may pick any variable you want in the data set as a substitute.Make Sure to:1. Attach your word document for review and grading. Other file formats are not accepted and will not be graded. Use the following filename format: LastName_BUSI820_AssignmentX.docx
2. Include an APA title block with your name, class title, date, and the assignment number.
3. Include a table of contents and a reference section. Number your pages in the footer along with the date. Include a header starting on page 2 with the Course and assignment number.
4. Write the problem number and the problem title as a level one heading (Example ‐ A.1.1: Chapter 2, Problem 2.1, and then provide your response.
5. Use level two headings with short titles for multi part questions (Example ‐ A1.1.a, Short Title, A1.1.b, Short Title II, etc.)
6. Use appropriate level headings for key elements of your discussion such as Research Questions, Hypotheses, Descriptive Statistics, Assumptions & Conditions, Interpretation, Results, and others. Your goal is to make your analysis easy to follow and logical.
7. Ensure that all tables and graphs are legible and include a figure number.
8. Carefully review your document prior to submission for formatting, flow, and readability. Keep in mind that running the statistical tests is only the first half of the challenge; you must be able to clearly communicate your findings to the reader.

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