Confidence Intervals for Correlation and Proportion

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