Question 1

In a QI project in a health care setting, the DNP is trying to demonstrate that a new evidence based guideline leads to better patients outcomes than the currently used protocol. Using null hypothesis testing she needs to demonstrate that there is a low probability that the apparent superiority of the new guideline would occur randomly- therefore the new guideline must be superior to the old practice. Which of the following p values would support such a conclusion.?

A. p=0001, indicating that this difference between the new and the old treatment would occur randomly in only 1 in 10,000 QI projects.

B. p> .05, indicating that this difference between the new and the old treatment would probably happen in more than 5 out of 100 QI project.

C. p< .01 indicating that this difference between the new and the old treatment would occur consistently in 10 of 10,000 QI project

question 2

In a study of weight loss among diabetic patients, patients in the exercise intervention group showed a mean 10% weight loss and patients in the diet intervention group showed a mean 7% weight loss. The difference between two group means is 3 and the 95% CI is -1 to 7, which of the following is the most accurate prediction of patients outcome if you try to replicate this study in your practice?

a: Because the CI contains -1, the diet group might loose more weight on average than the exercise group.

b. Because the CI contains 3, you might get the same results in your practice .

c. All of the above are accurate predictions.