Module 7 Quantitative Project “ Final Presentation! Name: ______________________ (Include this!)You™ve created a su

Module 7 Quantitative Project – Final Presentation! Name: ______________________ (Include this!)You’ve created a survey, distributed it, collected the results, and analyzed the data. Now you’ll put it all together!Note: Please access the Module 6 Quantitative Project assignment to get my feedback and make changes. Pay extra attention to the “Correlation” part from the M6 Quant Results. Also, double check my feedback from earlier assignments. Do you need to make any changes to what you submitted previously? If you copy and paste in earlier stuff without changes, I won’t be a happy camper. You should have everything you need for this assignment already done from previous assignments. You’ll just need to streamline what you have so it is readable and clear for your audience (me and your classmates). Formatting the assignment:Please use the following formatting for your assignment. Part I: Introduction: Introduction to the study and the variables. Why was this topic of interest to you? Part II: Methods: Describe the Study Using Who, what, Where, When, How1. Who: Describe the sample (ie sample size (n), age of sample). How were participants/subjects selected? 2. What: What was the purpose of the survey? 3. Where: How and where was the survey distributed?4. When: When did the survey collection take place? How long did it take for you to collect your data? 5. How: Identify the study design–was it observational, experimental, convenience? (hint: put convenience, now tell me why) Part III: Results:Demographic Data:1. Generate summary data (tables and graphics) for your demographic variables using technology: StatCrunch, Statdisk, or Excel:[Insert tables printouts and graphics here]. Analysis: What do the table and graphics tell us? 2. Now generate data for the x variable and the y variable. X and Y Variables: [Insert table printouts and graphics here]. Analysis: What do the table and graphics tell us? Does the data appear to be roughly normally distributed? (look that up if you can’t remember what that means)Correlation:1. Scatterplots: Generate a scatterplot using technology. Note that your x is your explanatory or predictor variable and your y is the response variable.

[Insert Scatterplot here]Interpretation: Tell me what you see. Does there appear to be a linear correlation?2. Linear correlation. Now we’ll determine if, in fact, there is a linear correlation between the two variables. [Insert the StatCrunch Printout for this correlation section (See the M6 Quant assignment for how to generate this printout)Important: Highlight the p value, the correlation coefficient, and the R-Sq values in the printout.a. REALLY IMPORTANT: State the p value and the significance level, and walk me through how you make a decision: Is there a linear correlation between your x and y variable? b. What is your R-sq (coefficient of determination):________Does it suggest this Regression Equation (and the least-squares regression line) is a good model to explain the relationship? (and Why or why not?Part IV: Discussion: 1. Do you think there may be possible sources of bias in how the sample was selected, or how the study was designed or conducted?2. Discuss any confounding (lurking) variables that might influence the results. Part V: Conclusion: 1. Summarize the results of this mini-study.2. What are the practical implications of this research? In other words, what actions would this suggest we take in day-to-day practice?3. Make any recommendations for further studies on this topic. Part VI: Wrap UpWhat did you think of this overall Quantitative Project? Was it fun or more on the stressful side? What recommendations would you have for next time I teach the class? Submitting the AssignmentSubmit the assignment in two places:1. In Discussions, in the Quantitative Projects- Final Presentations forum. 2. Submit this Word doc for grading as an attachment by clicking on the Assignment title in the Modules section of the course.

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