RES 845 Module 6 DQ 2--.docx - Module 6 DQ 2 A...

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Module 6 DQ 2 A pharmaceutical company conducts a study to evaluate the relationship between length of time taking drug X and size of tumor. They enlist 2,400 patients with the same type of benign tumor who have been on drug X for varying lengths of time (measured in days). They find that the longer the patient is on the drug, the smaller the patient’s tumor size (measured in volume). In fact, they report the results as r(2398) = -.21, with significance of p < .0001. What is your initial perception of this information? What are other ways, beyond looking at the p-value alone, you could use to try to interpret what this outcome of r(2398) = -.21 tells us about the relationship between length of time taking drug X and the size of the tumor? Support your responses. My response to this question is the p-value of <.0001 is less than .05. When the p-value is less than .05, we reject the null hypothesis, in favor of the alternative hypothesis. The Pearson coefficient correlation

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