Write-Up Assignment Instructions
Overview
Software systems like SPSS provide us the ability to quickly conduct statistical analysis. For each assignment you will utilize the SPSS software to complete each scenario presented to you. Each Write-Up Assignment will cover a different method of testing for statistical significance. You may even use some of these methods when you are conducting your dissertation.
Instructions
Review each assignment tutorial and template. See the chart below for the specific documents you should be reviewing and downloading. The tutorial will provide information on how to use the SPSS software for each assignment. Use the techniques that you gained from the tutorial to complete the template. Then submit only the template for a grade.
| Module: Week | Assignment | Resources |
| Module 2: Week 2 | One-Sample t-Test Template | One-Sample t-Test Tutorial
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| Module 3: Week 3 | Independent Samples t-Test Template | Independent Samples t-Test Tutorial
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| Module 4: Week 4 | ANOVA Template | ANOVA Tutorial
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| Module 5: Week 5 | Chi-Square Template | Chi-Square Tutorial
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| Module 6: Week 6 | Pearson Product-Moment Correlation Template | Pearson Product-Moment Correlation Tutorial
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| Module 7: Week 7 | Write-Up: Bivariate Regression Template | Write-Up: Bivariate Regression Tutorial
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Instructions: The Chi Square test is used to determine if there is a significant association in the frequencies among different variables. Work through the tutorial below. You will turn in a similar assignment for a grade using this tutorial and write-up as a guide.
Scenario: The school nurse is tasked with making an intervention to target e-cigarette use at the high school she works. To make the intervention as customized as possible, she wants to know if more males or females use an e-cigarette product. She hands out an anonymous survey to one of the gym classes and receives the following data. Run a Chi Square analysis in SPSS to determine if there was a significant difference in the number of male or females who use e-cigarette products.
To begin, use the data in the following table. Unlike the previous analysis, you cannot copy and paste this data into SPSS. See steps below to set up your data sheet.
| Uses | Does Not Use | |
| Female | 24 | 26 |
| Male | 35 | 15 |
