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Comparing Gender Differences in Aggression Using a t-Test for Independent Samples

A study using t-tests for independent samples to compare gender differences in aggression levels.

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    Comparing Gender Differences in Aggression Using a t - Test for Independent Samples Exercise 9: t - test for two independent samples As preparation for this exercise, you are strongly advised do the Time to Practice exercise 1, 2, and 8 in chapter 11, and check your work against the correct answers in the text. Test the hypothesis that the men are more aggressive than the women in the data set. Use the pretest aggression measures. 1. State the null and research hypotheses: Null hypothesis H0: The men are not more aggressive than the women in the data set. Alternative hypothesis Ha: The men are more aggressive than the women in the data set. 2. S et the level of significance, or Type 1 error, and explain what it means. Take the level of significance to be 0.05. It is the maximum type I error we could make. 3. S elect the appropriate test statistic, and explain why it is appropriate. Describe the formula (11.1) for the statistic and what it means. Since we compare with two population means and the population standard deviations are unknown, and sample sizes are small, we use t - test statistic. When H0 is true, the test statistic given in the following follows a t - distribution with degree of freedom df=n1+n2 - 2. ) ( 2 * 1 2 1 2 2 1 2 2 ) 1 2 ( 2 1 ) 1 1 ( 2 1 n n n n n n S n S n X X t + − + − + − − = 4. Compute the test statistic to get the ‘obtained value’. Plug the appropriate values into the formula for the statistic, as on page 194. (note: you can just use SPPS to compute the means and standard deviations). Report AGGpre Sex Mean N Std. Deviation 1 6.43 7 2.573 2 4.80 5 2.588 Total 5.75 12 2.598

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