A new blood pressure lowering medication is tested on a group of patients. The a

Question

A new blood pressure lowering medication is tested on a group of patients. The average systolic blood pressure of patients who did not receive the medication is 138 mm hg, and the average systolic blood pressure of patients who did receive the medication is 126 mm hg. A t-test was used to compate the two outcomes. The 95% confidence interval was 10.23 to 13.77 and the 99% confidence interval was 9.68 to 14.33. The null hypothesis is that there is no difference between the groups. What is the correct interpretation of this study's results? 1) Using the 99% confidence interval one fails to accept the null hypothesis. 2) Increasing the confidence interval from 95% to 99% decreases the probability of accepting the null hypothesis. 3) Increasing the confidence interval from 95% to 99% decreases the probability of rejecting the null hypothesis. 4) using the 95% confidence interval one fails to reject the null hypothesis. Please explain how you get the anser in detail. I am having a difficult time understanding how to tell in the null hypothesis is rejected or accepted. Please help

Explanation / Answer

here we are supposed to reject the null hypothesis; cause our confidence interval have all +ve values which means that differnce is +Ve. and cause rejection of null hypothesis.

Increasing the confidence interval from 95% to 99% decreases the probability of rejecting the null hypothesis.

please revert for further clarification

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