Marshall is superstitious and suspects that people who take the GRE while wearing the same dirty socks that they wore when they got their best score on a practice test will do better than people who do not wear these “lucky” socks. In order to test that hypothesis among college students, he made 20 students wear their “lucky” socks and 20 not wear their lucky “socks” while taking the GRE test. Although he was convinced that people who wore their “lucky” socks would score higher than people who didn’t, he wanted to be able to test the possibility that they could score lower. Their scores are as follows: “Lucky” Non-“Lucky” Sock wearers Sock Wearers 108 105 107 107 112 110 113 109 105 105 100 114 120 98 *For this problem, you will be conducting a t test for independent means. See pages 284-286 for an example of conducting this type of analysis and model your response after that problem. Step 2: Determine the characteristics of the comparison distribution. In other words, what are the sample means, dfs, the variance of each distribution of means, the variance for the distribution of the differences between means, and the standard deviation of the distribution of the differences of the means? Also, calculate df, and the variance and standard deviations of the distribution of means. Show formulas and all work
Marshall is superstitious and suspects that people who take the GRE while wearing the same dirty socks that they wore when they got their best score on a practice test will do better than people who do not wear these “lucky” socks. In order to test that hypothesis among college students, he made 20 students wear their “lucky” socks and 20 not wear their lucky “socks” while taking the GRE test. Although he was convinced that people who wore their “lucky” socks would score higher than people who didn’t, he wanted to be able to test the possibility that they could score lower. Their scores are as follows:
“Lucky” Non-“Lucky”
Sock wearers Sock Wearers
108 105
107 107
112 110
113 109
105 105
100 114
120 98
*For this problem, you will be conducting a t test for independent means. See pages 284-286 for an example of conducting this type of analysis and model your response after that problem.
Step 2: Determine the characteristics of the comparison distribution. In other words, what are the sample means, dfs, the variance of each distribution of means, the variance for the distribution of the differences between means, and the standard deviation of the distribution of the differences of the means? Also, calculate df, and the variance and standard deviations of the distribution of means. Show formulas and all work
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