Ask Question
3 November, 19:05

90 percent confidence interval for the proportion difference p1-p2 was calculated to be (0.247,0.325). Which of the following conclusions is supported by the interval?

A. There is evidence to conclude that p1>p2 because 0.325 is greater than 0.247.

B. There is evidence to conclude that p1 C. There is evidence to conclude that p1>p2 because all values in the interval are positive.

D. There is evidence to conclude that p1 E. There is evidence to conclude that p2>p1 because 0.247 and 0.325 are both greater than 0.05.

+1
Answers (1)
  1. 3 November, 21:08
    0
    C

    Step-by-step explanation:

    Statistics!

    When we have a confidence interval for the difference in proportions or means, our null hypothesis is always that there's no difference. (H0 = p1-p2 = 0.)

    If the difference is positive, that means we have sufficient evidence p1>p2.

    If it's negative, then we have sufficient evidence p2>p1.

    Why not A: incorrect interpretation of the interval

    Why not B: doesn't look like a complete answer

    Why not D: also doesn't look like a complete answer

    Why not E: this confuses the definition of alpha-level and p-value with confidence interval values. If those were p-values and greater or less than an alpha-level, we would reject or fail to reject the null hypothesis. That isn't the case here.
Know the Answer?
Not Sure About the Answer?
Find an answer to your question ✅ “90 percent confidence interval for the proportion difference p1-p2 was calculated to be (0.247,0.325). Which of the following conclusions ...” in 📘 Mathematics if you're in doubt about the correctness of the answers or there's no answer, then try to use the smart search and find answers to the similar questions.
Search for Other Answers