In this problem, we use your critical values table to explore the significance of r based on different sample sizes.
(a) Is a sample correlation coefficient = 0.83 significant at the = 0.01 level based on a sample size of n = 4 data pairs? What about n = 9 data pairs? (Select all that apply.)
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 9 and = 0.01.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 9 and = 0.01.
No, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 4 and = 0.01.
No, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 4 and = 0.01.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 4 and = 0.01.
Yes, because the absolute value of the given correlation coefficient is smaller than that for a sample size of n = 9 and = 0.01.
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 4 and = 0.01.
Yes, because the absolute value of the given correlation coefficient is greater than or equal to that for a sample size of n = 9 and = 0.01.