Posted by cindy on Thursday, March 15, 2012 at 8:44pm.
Try a two-sample test.
Hypothesis:
Ho: µ1 = µ2
Ha: µ1 does not equal µ2
This is a two-tailed test because the problem is just asking if there is a difference (no specific direction in the alternate hypothesis).
P-value is the actual level of the test statistic (using a z or t-table, depending on the test you use).
A test involving two variances (standard deviation is the square root of the variance) would include these hypotheses: Ho would be the ratio of the two variances less than or equal to 1 and Ha would be the ratio of the two variances greater than 1.
Test statistic = (7.81)^2/(6.62)^2 = ?
Note: ^2 means squared.
Finish the calculation. Using an F-distribution table at .05 level of significance, determine the critical or cutoff value to reject the null. (You will need to use degrees of freedom to determine the value.) If the test statistic exceeds the critical value from the table, the null is rejected in favor of the alternative hypothesis. If the test statistic does not exceed the critical value from the table, then the null is not rejected.
I hope these few hints will help get you started.
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