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This option runs a t-test to compare the means of the two samples. <br />It also constructs confidence intervals or bounds for each mean and <br />for the difference between the means. Of particular interest is the <br />confidence bound for the difference between the means, which extends <br />upward to -9.13916. This indicates the largest value for the <br />difference which is supported by the data. <br />A t-test may also be used to test a specific hypothesis about the <br />difference between the means of the populations from which the two <br />samples come. In this case, the test has been constructed to <br />determine whether the difference between the two means equals 0.0 <br />versus the alternative hypothesis that the difference is less than <br />0.0. Since the computed P-value is less than 0.2, we can reject the <br />null hypothesis in favor of the alternative. <br />NOTE: these results do not assume that the variances of the two <br />samples are equal. In this case, the variances appear to be <br />significantly different based on the results of an F-test to compare <br />the standard deviations. You can see the results of that test by <br />selecting Comparison of Standard Deviations from the Tabular Options <br />menu. <br />