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Five students were tested before and after taking a class to improve their study habits. They were given articles to read which contained a known number of facts in each story. After the story each student listed as many facts as he/she could recall. The following data was recorded. Five students were tested before and after taking a class to improve their study habits. They were given articles to read which contained a known number of facts in each story. After the story each student listed as many facts as he/she could recall. The following data was recorded.   What do you conclude using a = 0.052 tail? A)  reject H<sub>0</sub>; the class appeared to improve study habits B)  retain H<sub>0</sub>;<sub> </sub> the class had no effect on study habits C)  retain H<sub>0</sub>; we cannot conclude that the class improved study habits D)  accept H<sub>0</sub>; the class appeared to improve study habits What do you conclude using a = 0.052 tail?


A) reject H0; the class appeared to improve study habits
B) retain H0; the class had no effect on study habits
C) retain H0; we cannot conclude that the class improved study habits
D) accept H0; the class appeared to improve study habits

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If the correlation is zero between paired scores, the t test for correlated groups is more powerful than the t test for independent groups.

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Assuming large between subject variability, which of the following tests is usually the most sensitive ( N held constant) ?


A) t test for correlated groups
B) sign test
C) t test for independent groups
D) they are all equal in sensitivity

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One way of stating H0 for the t test for independent groups is µ 1 - µ 2 = 0. (Assume H1 is nondirectional)

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If the confidence interval for µ 1 - µ 2 contains the value 0, we can reject H 0.

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If the homogeneity of variance assumption is not met, it is invalid to use the t test for independent groups.

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When several tests are appropriate for analyzing data, it is best to use the least powerful test so as to minimize the probability of making a Type I error.

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The t test for correlated groups requires the sampling distribution of The t test for correlated groups requires the sampling distribution of   be normally distributed. be normally distributed.

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If the homogeneity of variance assumption is violated in an experiment using the t test for independent groups, this means _________.


A) the populations from which the samples were drawn have different variances
B) the power of the t test will be reduced
C) t the test can still be used, if the violation is a moderate one
D) the t test should not be used
E) the populations from which the samples were drawn have different variances and t the test can still be used, if the violation is a moderate one

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For the independent groups t test, For the independent groups t test,   gives a value in raw score units for the size of effect. gives a value in raw score units for the size of effect.

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The sampling distribution of The sampling distribution of   has a mean value equal to _________. A)  0 B)    C)  N D)   has a mean value equal to _________.


A) 0
B) The sampling distribution of   has a mean value equal to _________. A)  0 B)    C)  N D)
C) N
D) The sampling distribution of   has a mean value equal to _________. A)  0 B)    C)  N D)

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In testing the null hypothesis, the correlated t test allows one to utilize information on _________ in the test of significance.


A) magnitude and direction
B) magnitude only
C) direction only
D) separation between the groups

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When using the correlated groups t test, the larger the size of effect the larger is When using the correlated groups t test, the larger the size of effect the larger is

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If the independent variable has a real effect, the t test for independent groups assumes s 12 = s 22 .

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When using the confidence interval approach for evaluating the effect of the independent variable, if the 95% confidence interval contains the value "0", we can reject H 0 at á = 0.05.

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In an independent groups design the nondirectional alternative hypothesis states _________.


A) µ 1 > µ 2
B) µ 1< µ 2
C) µ 1 ≠ µ 2
D) µ 1 = µ 2

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The t test for correlated groups uses both the magnitude and direction of the difference scores.

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In a repeated measures design the difference scores are used in the analysis, not the raw scores.

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The z test for independent groups is seldom used because s 2 is unknown.

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