researcher wants to see if the patients who receive the recommendation to change their diet have lesssuccess lowering cholesterol compared to a prescription of meds. Arandom sample of some patients whoreceived the recommendation to change their diet and others who were prescribed meds was taken. Theresults of how many did or did not lower their cholesterol are shown below:Data on Diet vs. Medsfor Weight LossDietMedsYes| 362528No | 199249What can be concluded at the a = 0.10 level of significance?For this study, we should use Select an answera. The null and alternative hypotheses would be:Ho: Select an answerSelect an answerSelect an answer(please enter a decimal)H1: Select an answer VSelect an answer v (Please enter a decimal)Select an answer Vb. The test statistic(please show your answer to 3 decimal places.)c. The p-value =d. The p-value is ? vae. Based on this, we should Select an answerf. Thus, the final conclusion is that ..(Please show your answer to 4 decimal places.)the null hypothesis.O The results are statistically insignificant at a = 0.10, so there is insufficient evidence toconclude that the population of all patients who received the recommendation to change theirdiet is less likely to lower their cholesterol than the population of patients who are prescribedmeds.O The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the success rate for the 561 patients who received the recommendation to change theirdiet is less than the success rate for the 777 patients who were prescribed meds.O The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the population of all patients who received the recommendation to change their diet isless likely to lower their cholesterol than the population of patients who are prescribed meds.O The results are statistically insignificant at a= 0.10, so we can conclude that the success ratefor all patients who receive the recommendation to change their diet is equal to the successrate for all patients who are prescribed meds.3. Interpret the p-value in the context of the study.O There is a 9.5% chance of a Type i error.O if the success rate for the population of patients who receive the recommendation to changetheir diet is the same as the success rate for the population of patients who are prescribedmeds and if another 561 patients who are given the recommendation to change their diet and777 patients who are prescribed meds are surveyed then there would be a 9.5% chance thatthe percent of the surveyed diet changers who lowered their cholesterol would be at least3.4% lower than the percent of the surveyed med takers who lowered their cholesterol.O There is a 9.5% chance that patients who receive the change of diet recommendation are 3.4%less likely to lower their cholesterol than patients who are prescribed meds.O if the success rate for the sample of patients who receive the recommendation to change theirdiet is the same as the success rate for the sample of patients who were prescribed meds andif another 561 patients are given the recommendation to change their diet and 777 patientsare prescribed meds then there would be a 9.5% chance of concluding that the success rate forall patients who receive the recommendation to change their diet is at least 3.4% smaller thanthe success rate for patients who are prescribed meds.h. Interpret the level of significance in the context of the study.O There is a 10% chance that a patient won't be able to afford the meds, so they might as wellchange their diet.O if the success rate for the population of patients who receive the recommendation to changetheir diet is the same as the success rate for the population of patients who are prescribedmeds and if another 561 patients who are given the recommendation to change their diet and777 patients who are prescribed meds are surveyed then there would be a 10% chance that wewould end up falsely concuding that the success rate for the population of patients whoreceive the recommendation to change their diet is less than the success rate for thepopulation of patients who are prescribed meds.O if the success rate for the population of patients who receive the recommendation to changetheir diet is the same as the success rate for the population of patients who are prescribedmeds and if another 561 patients who are given the recommendation to change their diet and777 patients who are prescribed meds are surveyed then there would be a 10% chance that wewould end up falsely concuding that the proportion of the 561 patients who received the dietchange recommendation who lowered their cholesterol is less than the proportion of the 777patients who were prescribed meds who lowered their cholesterol.

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We want to find null hypothesis,  alternate hypothesis,  test statistics and P-value 
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