A research team conducted a case control study to identify if being obese is associated with an increased risk for death among men diagnosed with prostate cancer. The following results were seen when obese participants were compared to those with normal weight: Odds ratio of cancer death = 2.5 95% confidence interval = 2.1 - 2.7 p value = 0.002 3. Write out the null and alternative hypotheses for this study. (4pts) b. State in a complete sentence your interpretation of the odds ratio. (2pts) c. State in a complete sentence your interpretation of the 95% confidence interval. Based on the 95% Cl, should we accept or reject the null hypothesis? Why or why not? (2pts) d. Does the p value provide evidence of statistical significance of the association between obesity and risk of cancer death? Why or why not? (2pts) e. Name two confounding factors that could be considered in the analysis of this data. Why did you select these factors? (3pts) f. Suppose that in the published research article of this obesity study the following statement is given in the discussion section: One of the strengths of this study is that the condition of being overweight was established before death due to prostate cancer. Which one of the criteria for assessing causation is supported by this statement? (2ptS) A. Temporality B. Biological gradient or dose-response C. Consistency D. Validity