a. Spearman r with two-sided significance test b. Pearson r with one-sided significance test and 95%...

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a. Spearman r with two-sided significance test b. Pearson r with one-sided significance test and 95% CI of r c. Pearson r with one-sided significance test and 99% CI of r d. Pearson r with two-sided significance test and 99% CI of r e. Pearson r with two-sided significance test and 95% CI of r f. Spearman r with one-sided significance test 10. In a one-sided correlation test, the p-value=0.003 In a two-sided correlation test on the same x, y data, p=? a. 0.015 b. 0.03 c. 0.006 d. 0.10 11. When testing Pearson r for significance, the alternate hypothesis is a. r is small b. r is large c. r-square is 95% d. r is not zero e. r-square is 5% f. r is invalid g. r is zero a. Spearman r with two-sided significance test b. Pearson r with one-sided significance test and 95% CI of r c. Pearson r with one-sided significance test and 99% CI of r d. Pearson r with two-sided significance test and 99% CI of r e. Pearson r with two-sided significance test and 95% CI of r f. Spearman r with one-sided significance test 10. In a one-sided correlation test, the p-value=0.003 In a two-sided correlation test on the same x, y data, p=? a. 0.015 b. 0.03 c. 0.006 d. 0.10 11. When testing Pearson r for significance, the alternate hypothesis is a. r is small b. r is large c. r-square is 95% d. r is not zero e. r-square is 5% f. r is invalid g. r is zero