The data below are from an independent-measures experiment comparing three different treatment conditions. Treatment 1 Treatment 2 Treatment 3 0 1 4 0 4 3 0 1 6 2 0 3 Find the following: F-ratio:
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The data below are from an independent-measures experiment comparing three different treatment conditions.
Treatment 1 | Treatment 2 | Treatment 3 |
0 | 1 | 4 |
0 | 4 | 3 |
0 | 1 | 6 |
2 | 0 | 3 |
Find the following:
F-ratio:
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Solved in 3 steps
- For the following data, what are the df values for repeated-measures for both dfb, dfw and df error and df between subjects? Subject Treatment Treatment2 Treatment 3 P Total A 4 4 6 12 B 1 1 4 7 C 2 1 6 9 Accept the F ratio at .05 but reject it at .01Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…When we assess exposure before outcome, which of the following measures of association should be calculated? [ Exposure ratio Risk ratio Odds ratio Prevalence ratio In a clinical trial of 734 subjects treated with medicine A, 29 reported headaches. In a control group of 735 subjects not treated with medicine A, 117 reported headaches. The Absolute Risk Reduction is equal to: [ 0.119 0.334 0.893 0.987
- For the following data, what are the df values for the repeated-measures F-ratio? Treatments Subject I II III P-totals A 3 4 5 12 G = 27 B 1 1 4 6 ΣX2 = 109 C 2 1 6 9 T = 6 T = 6 T = 15 SS = 2 SS = 6 SS = 2 Select one: a. 3, 4 b. 2, 4 c. 2, 6 d. 3, 6Indicate the levels for which measures are being obtained in each type of study of the observational studies: cross-sectional, case-control, and cohort studies using the book of Robert H. Friis; Thomas Sellers.The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 4.1 5.1 3.8 3.8 1.9 2.1 5.2 3.6 5.4 5.9 4.3 2.9 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test.
- The following data are from an independent-measures experiment comparing two treatment conditions: Treatment 1 Treatment 2 6 19 13 9 8 18 4 10 13 12 4 14 11 19 5 11 Which variables are described in this scenario and what are their scales of measurement? Which test should you use?The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Two Treatment One 3.4 3.2 4.3 4.3 4.9 4.4 2.7 5.5 3.4 4.1 3.8 4.3 4.1 3.6 4.3 2.2 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value:The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Treatment One Two 6.9 5.2 8.2 2.2 3.7 1.7 7.6 7.4 3.4 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O No, the p-values aren't that far off where it would change the outcome of the test. O Yes, the p-values are different enough to change the outcome of the test.
- The following data were obtained from an independent measures research study comparing three treatment conditions. Show calculations for the F-ratio, be specific in terms of how you evaluate significance when doing it by hand. TREATMENT I II III 5 2 7 1 6 3 2 2 2 3 3 4 0 5 5 1 3 2 2…The following data represent the results from an independent-measures study comparing two treatment conditions. Conduct ANOVA with a = Treatment Treatment One Two 3.3 4.6 4.8 3.7 5.1 2 5.2 2 4.4 5.9 5 4 6.1 6 1.7 4.7 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value: Observing the p-values, was there a difference in the result of the hypothesis test? O Yes, the p-values are different enough to change the outcome of the test. O No, the p-values aren't that far off where it would change the outcome of the test. Submit QuestionThe following data are from an experiment comparing two treatment conditions. Do these data indicate a significant difference between the treatment at the levels of .05 level of significance. Treatment 1 Treatment 2 13 9 9 5 7 5 11 9