When performing a rank correlation test one alternative to

Reference no: EM13637847

1. Find the critical value. Assume that the test is two=tailed and that n denotes the number of pairs of data. n = 30, a = 0.001.

a. ±0.467

b. -0.467

c. ±0.362

2. 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: 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 rs for the case where n = 17 and a = 0.05.

a. ±0.311

b. ±0.482

c. ±0.411

3. Find the critical value. Assume that the test is two-tailed and that n denotes the number of pairs of data. n = 60, a = 0.05

a. 0.255

b. ±0.253

c. ±0.255

4. Given below are the analysis of variance results from a Minitab display. Assume that you want to use a 0.05 significance level in testing the null hypothesis that the different samples come from populations with the same mean. Identify the value of the test statistic.

a. 13.500

b. 5.14

c. 4.500

Reference no: EM13637847

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