When Performing a Rank Correlation Test, One Alternative to Using $$r _ { s } = \pm \sqrt { \frac { t ^ { 2 } } { t ^ { 2 } + n - 2 } }$$

question 105

Multiple Choice

When performing a rank correlation test, one alternative to using the Critical Values of Spearman's Rank Correlation Coefficient table to find critical values is to compute them using this approximation: $$r _ { s } = \pm \sqrt { \frac { t ^ { 2 } } { t ^ { 2 } + n - 2 } }$$
where $t$ is the $t$ -score from the $t$ Distribution table corresponding to $n - 2$ degrees of freedom. Use this approximation to find critical values of $\mathrm { r } _ { \mathrm { S } }$ for the case where $\mathrm { n } = 40$ and $\alpha = 0.10$ .

• A) \(\pm 0.202\)
• B) \(\pm 0.264\)
• C) \(\pm 0.312\)
• D) \(\pm 0.304\)

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