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6. This set of numbers: 6,3,5,7,5,4,3,6,4, and 8,6,4,7,6,9,7,5,6,5 represents sample scores from a drug trail. the first 9 scores took the drug, the last 10 took a placebo. You can either create a data frame or create two separate vectors. Either way, I want you to compute an independent samples t-test (or between subjects) step by step as conducted in class. You should report the sum of squares for each group, the pooled variance, the t- score, p-value, 95% CI, test for homogeneity of variance, Cohen's d, and r2. To make sure you are on the right track, you should get a t-score of -2.288, check your answers using the t.test() function. Meani = S21 = S2p= t_obt: t() = Mean2 == S22= p-value = 95% CI = Homogeneity of Variance test: F = ;p= Cohen's d= r2= Decision about Ho= F-Max value =

6. This set of numbers: 6,3,5,7,5,4,3,6,4, and 8,6,4,7,6,9,7,5,6,5 represents sample scores from a drug trail. the first 9 scores took the drug, the last 10 took a placebo. You can either create a data frame or create two separate vectors. Either way, I want you to compute an independent samples t-test (or between subjects) step by step as conducted in class. You should report the sum of squares for each group, the pooled variance, the t- score, p-value, 95% CI, test for homogeneity of variance, Cohen's d, and r2. To make sure you are on the right track, you should get a t-score of -2.288, check your answers using the t.test() function. Meani = S21 = S2p= t_obt: t() = Mean2 == S22= p-value = 95% CI = Homogeneity of Variance test: F = ;p= Cohen's d= r2= Decision about Ho= F-Max value =

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 5E
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6. This set of numbers: 6,3,5,7,5,4,3,6,4, and 8,6,4,7,6,9,7,5,6,5 represents sample scores from a drug trail. the first 9 scores took the drug, the last 10 took a placebo. You can either create a data frame or create two separate vectors. Either way, I want you to compute an independent samples t-test (or between subjects) step by step as conducted in class. You should report the sum of squares for each group, the pooled variance, the t- score, p-value, 95% CI, test for homogeneity of variance, Cohen's d, and r2. To make sure you are on the right track, you should get a t-score of -2.288, check your answers using the t.test() function. Meani = S21 = S2p= t_obt: t() = Mean2 == S22= p-value = 95% CI = Homogeneity of Variance test: F = ;p= Cohen's d= r2= Decision about Ho= F-Max value =
Transcribed Image Text:6. This set of numbers: 6,3,5,7,5,4,3,6,4, and 8,6,4,7,6,9,7,5,6,5 represents sample scores from a drug trail. the first 9 scores took the drug, the last 10 took a placebo. You can either create a data frame or create two separate vectors. Either way, I want you to compute an independent samples t-test (or between subjects) step by step as conducted in class. You should report the sum of squares for each group, the pooled variance, the t- score, p-value, 95% CI, test for homogeneity of variance, Cohen's d, and r2. To make sure you are on the right track, you should get a t-score of -2.288, check your answers using the t.test() function. Meani = S21 = S2p= t_obt: t() = Mean2 == S22= p-value = 95% CI = Homogeneity of Variance test: F = ;p= Cohen's d= r2= Decision about Ho= F-Max value =
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