If we have two independent populations with unknown variances, then we can use the t –distribution to test hypotheses about the means of the two populations – either that they are equal or that they differ by a certain amount. The procedure is:
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Write down the null hypothesisfor exampleor
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Write down the alternative hypothesisfor exampleor
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Specify the significance level
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Write down the number of degrees of freedom
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Write down the critical value (one tailed test), values (two tailed test) or the critical region (one tailed test) or critical regions (two tailed test).
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Calculate the sample meansand variances,and
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Calculated the pooled variance
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Calculate the value of the test statistic
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Interpret the statistic. If the value of the test statistic is in the critical region,canbe rejected at the significance level of the test.
Example: Conduct a hypothesis test at the 10 % level for the equality of the means ofthe populations from which the following samples are drawn.
Population 1: 4, 2, 4, 8, 2,6
Population 2: 7, 3, 6, 1, 9,9, 10
For a significance level of10% with 6+7-2 =11 degrees of freedom, (we are conducting a two tailed test since we are testing for equality) the critical values are
This is not in the critical region since