1. Two examples are randomly selected from two groups of students who have been taught using different teaching methods. An examination is given and the results are shown below:
Group 1 Group 2
N1 = 8 n2 = 10
Mean of Grp 1 =85 Mean of Grp 2 =87
Variance of Grp 1 =46 Variance of Grp 2 = 36.
Using a .05 level of significance, can we conclude that the two different teaching methods are equally effective?
Because both samples are small (< 30), we use the t test statistic. Before implementing the formula, we first check whether the assumption of equality of population variances is reasonable. The ratio of the sample variances, , which falls between 0.5 and 2, suggesting that the assumption of equality of population variances is reasonable. The appropriate test statistic is:
This is a two-tailed test, using a t statistic and a 5% level of significance. The appropriate critical value can be found in the t Table. In order to determine the critical value of t we need degrees of freedom, df, defined as df=n1+n2-2 = 8+10-2=16. The critical regions for a two-tailed test with df=16 and α=0.05 are t ≥ 1.745 and t ≤ -1.745 and the decision rule is: Reject H0 if t ≥ 1.745 or t ≤ -1.745.
We now substitute the sample data into the formula for the test statistic. Before substituting, we will first compute Sp, the pooled estimate of the common standard deviation.
Since -0.66 > -1.745, we cannot reject the null hypothesis.
Using a 0.05 level of significance, we can conclude that the two different teaching methods are equally effective.
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