Assignment Based on your proposed topic and construct(s) or variable(s) of inter

Assignment
Based on your proposed topic and construct(s) or variable(s) of interest, write a Research Question and Hypotheses (null and alternate) that reflect the need to conduct a Pearson correlation coefficient statistic in order to test the hypotheses. Include detailed information regarding Pearson correlation coefficient applications and data results.
My chosen topic is:
“Exploring The Care
and Management of Patients with Ehlers Danlos Syndrome and the Physician
Perception”
I have attached the last essay for reference. (I did not receive maximum points, so there were some things that could have been improved).
Reading
Stockberger, D. (2016). Introductory statistics: Concepts, models, and applications. Missouri State. Retrieved from http://www.psychstat.missouristate.edu/introbook/sbk19.htm
Russell, D. (2014, October 24). Introduction to quantitative data analysis [Video file]. Retrieved from https://www.youtube.com/watch?v=k5XR3Ari7-0
Quantitative Specialists. (2017 October 30). How to calculate and interpret a correlation (Pearson’s r) [Video]. YouTube. https://www.youtube.com/watch?v=lVOzlHx_15s
BurkeyAcademy. (2016, September 2). Making scatter plots/trendlines in Excel [Video]. YouTube. https://www.youtube.com/watch?v=kLROcLFzH8o
statslectures. (2010, October 3). Spearman correlation [Video]. YouTube. https://www.youtube.com/watch?v=YpG2MlulP_o
CORRELATION STATISTICS
Inferential statistical analysis always occurs after Descriptive statistical analysis. The most common inferential statistical analysis involves correlation (i.e., a relationship between 2 variables/constructs of interest). While there may be more than 2 variables of interest, correlation coefficient statistics can only be applied to 2 variables at a time. For example, the most common correlation is that between height and weight. We would assume as height increases, so does weight. That would be representative of a positive correlation hypothesis. With data from a sample of interest, we could test if indeed weight increases with height increases, or not. If you add another variable into the mix like age, we actually have 3 combinations of correlations (ABC = A-B, A-C, B-C) that are possible:
Age and Height
Age and Weight
Height and Weight

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Based on your proposed topic and construct(s) or variable(s) of inter
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