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The medical researcher is comparing two treatments for lowering cholesterol: diet and meds. The researcher wants to see if the patients who receive the

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The medical researcher is comparing two treatments for lowering cholesterol: diet and meds. The researcher wants to see if the patients who receive the recommendation to change their diet have less success lowering cholesterol compared to a prescription of meds. A random sample of some patients who received the recommendation to change their diet and others who were prescribed meds was taken. The results of how many did or did not lower their cholesterol are shown below: Data on Diet vs. Meds for Weight Loss Diet Meds Yes 391 601 No 228 284 What can be concluded at the Q = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho H1: Select an answer Select an answer Select an answer Select an answer (please enter a decimal) Select an answer Select an answer (Please enter a decimal) b. The test statistic ?= (please show your answer to 3 decimal places.) c. The p-value = d. The p-value is ? e. Based on this, we should (Please show your answer to 4 decimal places.) Select an answer the null hypothesis. f. Thus, the final conclusion is that ... The results are statistically significant at a = 0.10, so there is sufficient evidence to conclude that the population of all patients who received the recommendation to change their diet is less likely to lower their cholesterol than the population of patients who are prescribed meds. The results are statistically insignificant at a = 0.10, so we can conclude that the success rate for all patients who receive the recommendation to change their diet is equal to the success rate for all patients who are prescribed meds. The results are statistically insignificant at a = 0.10, so there is insufficient evidence to conclude that the population of all patients who received the recommendation to change their diet is less likely to lower their cholesterol than the population of patients who are prescribed meds.

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