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 critical value:
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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 critical value:
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- The data below are from an independent-measures experiment comparing three different treatment conditions. Use an ANOVA with a = .05 to determine whether these data indicate any significant differences among the treatments Treatment 1 Treatment 2 Treatment 3 0 1 4 N = 12 0 4 3 G = 24 0 1 6 åX2 = 92 2 0 3 M = 0.5 T = 2 M = 1.5 T = 6 M = 4 T = 16 SS = 3 SS = 9 SS = 6Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (cars types). Using the hypothetical data provided below, test whether the mean pressure applied to the driver’s head during a crash test is equal for each types of car. Use α = 5%. Compact cars Midsize cars Full-size cars 643 469 484 655 427 456 702 525 402 Mean 666.67 473.67 447.33 Standard deviation 31.18 49.17 41.68The 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: df between:
- The following summary table presents the results from an ANOVA comparing three treatment conditions with n = 8 participants in each treatment. Complete all missing values. (Hint: Start with the df) Source SS df MS Between tx ___ ___ 20 F= Within tx ___ ___ ___ Total 124 ___The following results are from an independent-measures, two-factor study with n = 10 participants in each treatment condition. Factor A: Factor B: A₁ A₂ B₁ n = 10 M = 4 T = 40 SS = 50 n = 10 M = 5 T = 50 SS = 60 ΣΧ2 = 640 Factor B: B₂ n = 10 M = 1 T = 10 SS = 30 n = 10 M = 2 T = 20 SS = 40The following data are from an independent-measures experiment comparing two treatment conditions. Treatment 1 Treatment 2 4 19 5 11 12 18 10 10 10 12 7 14 A. Do these data indicate a significant difference between the treatments at the .05 level of significance? M1 = _____________________________ SS1 = _____________________________ M2 = _____________________________ SS2 = _____________________________ tcritical = _________________________ sp² =…
- A normal population has a mean of μ = 25 on a communication effectiveness scale. After receiving a treatment, a sample of n = 4 scores yields the following data: 20, 28, 20, 20. Is there evidence for a significant treatment effect? Use an alpha level of .05.Good Morning, I am needing assistance making the changes the instructor requested be changed on this question. Thank you. Scenario:Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following questions. Question: Using the degrees of freedom provided by your SPSS output and an alpha value of .05, find the critical value in the appropriate table in the Appendix of your Jackson e-book. Do not round – present all three decimal places. Clearly identify the critical value from your e-book and the obtained value from your SPSS output. Based on this information, would you reject or fail to reject the null hypothesis? Does this mean there is a significant difference or no significant difference? My Answer: The chi-square test of significance between the gender and pets owned is shown. The findings indicate that, with a p-value of 0.177, which is higher than the alpha value, there was no…The data below are from a study comparing three different treatment conditions: Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6 N = 12 G = 32 ƩX2= 138 Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. The Critical F-value and The F-statistic is
- The data below are from a study comparing three different treatment conditions: Treatment 1 Treatment 2 Treatment 3 0 1 6 1 4 5 0 1 6 3 2 3 T = 4 T = 8 T = 20 SS = 6 SS = 6 SS = 6 N = 12 G = 32 ƩX2= 138 Conduct a single-factor independent-measures ANOVA to test the hypothesis that there are significant differences in the mean scores among the three treatment conditions. Use α = .01. Your decision is Fail to reject the null hypothesis and conclude that there there is at least one significant mean difference Fail to reject the null hypothesis and conclude that there are no significant differences among the three treatment conditions Reject the null hypothesis and conclude that there is at least one significant mean difference Reject the null hypothesis and conclude that there are no significant differences in mean scores among the treatment conditions b. Calculate η2 (eta squared) as a measure of the…As an occupational health epidemiologist you are required to measure the effect of stress on the workers in your manufacturing plant. Two different tests previously developed to measure stress in industrial workers are selected: stress test alpha and stress test delta. The sensitivity and specificity of each test are shown below. Which test generates the greatest proportion of false negatives? Stress Test Alpha Stress Test Delta Sensitivity = 60% 75% M Specificity = 95% 90% Stress Test Alpha Stress Test DeltaAn independent-measures study uses n = 15 participants in each group to compare two treatment conditions. What is the df value for the t statistic for this study?