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A GRE test-prep company is interested in demonstrating that their services result in participants earning higher GRE scores. Undergraduate juniors who had not yet taken
A GRE test-prep company is interested in demonstrating that their services result in participants earning higher GRE scores. Undergraduate juniors who had not yet taken the GRE Verbal Reasoning test were randomly selected for study participation. All participants took the GRE Verbal test, then participated in the training program before taking the GRE Verbal test a second time. The table describes the GRE test scores for participants before and after the training sessions. Is the GRE test-prep program successful? In other words, do students score higher on the GRE Verbal on the second test after GRE training? (This is a pre-test post-test design.) Conduct a repeated-measures ANOVA to find out. Show complete work for all four steps of hypothesis testing. Label all statistics computed with appropriate statistical nomenclature. Before After Participant 1 145 142 2 160 3 161 150 144 156 4 151 5 149 6 7 152 157 154 161 159 8 9 138 143 155 145 147 155 10 Step 1: Identify the statistical test to be used (and why). Step 2: State the null and alternate hypotheses (in statistical nomenclature and in words). Step 3: Perform the statistical test. Participant 1 Before 145 After 142 160 2 161 150 3 156 4 151 5 6 144 149 152 157 138 154 161 159 7 8 145 9 147 143 155 10 155 SI? TOTAL 2 SnTRIALS 2 'n WITHIN Sn? PARTICIPANTS RESIDUAL SV SS df MS F CV Reject? Trials Participants Residual Total Step 4: Interpret and report results. a. Compare the F-statistic to the critical value at the preset a =.05, indicating which is greater. Is the test significant (circle one)? Yes No b. Determine and report if the null hypothesis is true or false Is the null hypothesis true or false (circle one)? True False Reject or fail to reject the null hypothesis (circle one)? Reject Fail to Reject C. Compute and interpret the effect size: [Although this is typically only reported when a test is significant, we will compute the effect size for discussion purposes whether or not the test is significant.) Effect size (circle one): Not significant Small Medium Large d. Report the results in APA format: A GRE test-prep company is interested in demonstrating that their services result in participants earning higher GRE scores. Undergraduate juniors who had not yet taken the GRE Verbal Reasoning test were randomly selected for study participation. All participants took the GRE Verbal test, then participated in the training program before taking the GRE Verbal test a second time. The table describes the GRE test scores for participants before and after the training sessions. Is the GRE test-prep program successful? In other words, do students score higher on the GRE Verbal on the second test after GRE training? (This is a pre-test post-test design.) Conduct a repeated-measures ANOVA to find out. Show complete work for all four steps of hypothesis testing. Label all statistics computed with appropriate statistical nomenclature. Before After Participant 1 145 142 2 160 3 161 150 144 156 4 151 5 149 6 7 152 157 154 161 159 8 9 138 143 155 145 147 155 10 Step 1: Identify the statistical test to be used (and why). Step 2: State the null and alternate hypotheses (in statistical nomenclature and in words). Step 3: Perform the statistical test. Participant 1 Before 145 After 142 160 2 161 150 3 156 4 151 5 6 144 149 152 157 138 154 161 159 7 8 145 9 147 143 155 10 155 SI? TOTAL 2 SnTRIALS 2 'n WITHIN Sn? PARTICIPANTS RESIDUAL SV SS df MS F CV Reject? Trials Participants Residual Total Step 4: Interpret and report results. a. Compare the F-statistic to the critical value at the preset a =.05, indicating which is greater. Is the test significant (circle one)? Yes No b. Determine and report if the null hypothesis is true or false Is the null hypothesis true or false (circle one)? True False Reject or fail to reject the null hypothesis (circle one)? Reject Fail to Reject C. Compute and interpret the effect size: [Although this is typically only reported when a test is significant, we will compute the effect size for discussion purposes whether or not the test is significant.) Effect size (circle one): Not significant Small Medium Large d. Report the results in APA format
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