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When working with two nominal variables, each with two levels, a chi-square test for goodness of fit would be the appropriate test to use.

Your statistics professor was interested in the extent to which class attendance predicted test performance (% test score) in Introductory Psychology. An analysis of the data revealed the following information:N = 127; rxy = .518Mx = 17.43; SDx = 4.21; SSx = 2248My = 71.46; SDy = 12.82; SSy = 20888The formula for the regression line was calculated as = 43.941 + 1.579X. Using this information calculate the adjusted r2.

Your statistics professor was interested in the extent to which class attendance predicted test performance (% test score) in Introductory Psychology. An analysis of the data revealed the following information:N = 127; rxy = .518Mx = 17.43; SDx = 4.21; SSx = 2248My = 71.46; SDy = 12.82; SSy = 20888The formula for the regression line was calculated as = 43.941 + 1.579X. Using this information calculate the standardized regression coefficient ().

Why do correlation coefficients greater than 0.50 rarely occur in the social sciences?

When the within-groups variance is much larger than the between-groups variance, we infer that the sample means are _____ one another, and we _____ the null hypothesis.

The following table reflects the results of a hypothetical studyinvestigating the effects of cognitive strategy on dealing with physical or emotional pain. Participants were randomly assigned to one of two cognitive strategy conditions, distraction or reframing. Half of the participants in each condition were then exposed to physical or emotionally painful stimuli and instructed to use the cognitive strategy while being exposed to the stimuli. The researchers measured the participants’ heart rates as an indicator of the amount of stress experienced.Table: Coping with Pain   Distraction Reframing Mean Emotional Pain 93.4 84.4 88.9 Physical Pain 136.8 85.6 111.2 Mean 115.1 85.0     Reference: Ref 14-2 (Table: Coping with Pain) Based on the cells of this study, which effects appear to be present?

For the data in the source table, what decision can be made about the hypotheses being tested? Source SS df MS F Between-groups 15.16 3 5.053   Subjects 7.67 5 1.534   Error 21.42 15 1.428   Total 44.25 23    

The null hypothesis for a test of correlation is ρ = 0.

What is the best way to test a measure’s internal consistency?

Examining student performance, a teacher observes that as the number of classes attended decreases, the number of test errors increases. This is an example of what type of correlation?