Exam 9: Hypothesis Testing Using the Two-Sample T-Test

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By convention, the mean of the sampling distribution equals

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To determine the extent to which the conditions of the independent variable determine dependent scores, we should compute

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If a researcher predicts the experimental treatment (Xˉ1Xˉ2<0)\left(\bar{X}_{1}-\bar{X}_{2}<0\right) Xˉ2\bar{X}_{2} will produce an increase in an independent-samples t-test , how will the null hypothesis be stated?

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H0:μ1μ20H_{0}: \mu_{1}-\mu_{2} \geq 0

If a researcher predicts the experimental treatment (Xˉ1Xˉ2>0)\left(\bar{X}_{1}-\bar{X}_{2}>0\right) Xˉ2\bar{X}_{2} will produce an decrease in an independent-samples t-test , how will the alternative hypothesis be stated?

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What are the degrees of freedom for an independent-samples t-test using two samples with n = 20 in each sample?

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What can we conclude if we reject the null hypothesis in an independent-samples t-test?

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The freshmen competed with the sophomores to see who could raise the most money by recycling.The appropriate design for testing the significance of the difference between the means is

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What is the standard error of the difference?

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If a researcher predicts the experimental treatment (Xˉ1Xˉ2>0)\left(\bar{X}_{1}-\bar{X}_{2}>0\right) Xˉ2\bar{X}_{2} will produce a decrease in an independent-samples t-test , how will the null hypothesis be stated?

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If the variance for Sample 1 is 5 and the variance for Sample 2 is 3, where n1n_{1} = 10 and n2n_{2} = 12, what is SXˉ1Xˉ2S \bar{X}_{1}-\bar{X}_{2} ?

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Suppose you want to do an independent-samples t-test where you have 60 subjects in one group and 53 in the other group.Are the unequal ns problematic?

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Suppose a researcher assessed attitudes towards a certain brand of soda before and after conducting a taste test and noted the following results: Pre Post 5 7 4 9 3 4 5 10 4 4 5 4 What is the mean difference?

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In an experiment, the "proportion of variance accounted for" is also called the

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A Cohen's d value of .5 would be viewed as indicative of a effect.

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The sampling distribution of differences between means is the distribution of all possible

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Suppose you measure the IQ of 14 subjects with short index fingers and the IQ of 14 subjects with long index fingers.You compute an independent-samples t-test, and the tobtt_{o b t} is 0.29, which is not statistically significant.What is the most appropriate conclusion?

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In order to find the t-obtained for an independent t-test, which step is not required?

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How many subjects participated in an independent-samples t-test if a researcher reports t20) = 3.68?

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An appropriate example of a repeated measures design would be

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In a study involving stress among college students, a group of seniors are asked to complete a stress survey.After a two-hour seminar on relaxation methods, they are asked to complete the stress survey again.The appropriate design for testing the significance of the difference between the means is

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