First, this section shows how to compute a confidence interval for Pearson's correlation. The solution uses Fisher's z transformation. Then, it explains the procedure to compute confidence intervals for population proportions where the sampling distribution needs a normal approximation.
Correlation
Questions
Question 1 out of 3.
Select all of the following choices that are possible confidence intervals on the population value of Pearson's correlation:
(-0.4, 0.6)
(0.3, 0.5)
(-0.85, -0.47)
(0.72, 1.2)
Question 2 out of 3. A sample of 28 was taken from a population, and r = .45. What is the 95% confidence interval for the population correlation?
(.058, .842)
(.093, .877)
(.058, .687)
(.093, .705)
Question 3 out of 3. The sample correlation is -0.8. If the sample size was 40, then the 99%
confidence interval states that the population correlation lies between
-.909 and