Author Question: A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. This ... (Read 52 times)

audragclark · **on:** Jul 24, 2018

A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. This indicates that there is

A) a strong positive linear correlation.
B) a strong negative linear correlation.
C) no linear correlation but that there may be some other relationship.
D) insufficient evidence to make any decision about the correlation of the data.

Question 2

The dean of a major university claims that the mean number of hours students study at her University (per day) is at most 4.4 hours. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis?

A) There is not sufficient evidence to reject the claim 4.4.
B) There is sufficient evidence to reject the claim 4.4.
C) There is sufficient evidence to support the claim 4.4.
D) There is not sufficient evidence to support the claim 4.4.