Source | SS | df | MS | F |
between | 27.00 | 2.000 | 13.5000 | 13.500 |
within | 15.00 | 15.000 | 1.0000 | |
total | 42.00 | 17.0000 |
F critical =3.68
Tukey's HSD value =1.50
Treatment 3 were the most effective treatment
The following data are from an independent-measures experiment comparing the effects insomnia treatments on the amount...
The following data are from an independent-measures experiment comparing the effects insomnia treatments on the amount of sleep participants acquire. The data below show the number of hours a participant slept in a single night. Treatment 1 is the control condition, Treatment 2 is a behavioral therapy, and Treatment 3 is the administration of sleep aids. Treatment 1 Treatment 2 Treatment 3 ZX2 = 114 4 ss 7.5 T 12 SS 4 T= 21 SS 3.5 ESTION 21 Complete the...
2.) The data below are from an independent-measures experiment comparing the effects of insomnia treatments. Treatment 1 is a control group, Treatment 2 meditated before sleeping, and Treatment 3 received a sleeping pill. Note Pay close attention to what information you are given! Treatment1 Treatment 2 Treatment 3 6 G-36 T2 = 8 SS2 -6 T's = 24 SS-6 SS: = 6 a.Complete the ANOVA summary table below to help determine whether these data indicate any significant mean differences among...
I The following data were obtained from a study comparing 3 treatment conditions, with 5 participants in each treatment condition. Assuming the statistic reported below is significant at .05 conduct Tukey post hoc tests for all pairwise comparisons. Treatment 1 Treatment 2 Treatment 3 Means MS SS 70 F=10.51 Source Between Treatments Within Treatments Total 3.33 110 :
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 G=24 0 1 6 SX squared=92 2 0 3 _________________________________ T=2 T=6 T=16 SS=3 SS=9 SS=6 Use an ANOVA with a=.05 to determine whether these data indicate any significant differences among treatments. Use the Tukey’s HSD to determine which of the treatments are significantly different from each other at the .05 level....
5. The following data were obtained in a study using three separate samples to compare three different treatments. (13 points total) Treatment 1 Treatment 2 Treatment 3 mm M =4 SS = 2 M = 2 SS = 4 M = 6 SS = 8 a. Fill in the ANOVA table below. (4 points) SS df MSF Source Between treatments Within treatments Total b. If a = .05 and the Fcritical value = 4.26., what decision would you make? (1...
1. The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an analysis of variance with α = .05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. You do not need to do post-hoc tests. Treatments 1 2 3 2 6 6 N = 12 4 6 10 G = 60 2 2 10 ∑X2 = 408 0 6 6 T = 8 T = 20 T = 32 SS = 8 SS = 12 SS = 16 2. A researcher reports an F-ratio with df =...
4 and 5 please step by step solution 4. The data below are from an independent measures experiment comparing three different treatment conditions with 4 people in each treatment condition. Use Tukey's HSD test to determine which of the three treatments are significantly different from each other. Use the .05 level of significance for all tests. Treatment 1 Treatment 2 Treatment 3 X 0.5 5 1. 4 Source SS df MS Between Treatments Within Treatments Total 5. df The summary...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use an analysis of variance with α = .05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments (Hint: start by filling in the missing values on the table below). Be sure to show all formulas with symbols (and plug in numbers), steps, processes and calculations for all steps and all parts of all answers. Treatment 1 Treatment...
The following data represent the results from an independent-measures study comparing three treatments. Treatment I II III n = 13 n = 13 n = 13 M = 3 M = 3 M = 7 T = 39 T = 39 T = 91 (a) Compute SS for the set of 3 treatment means. (Use the three means as a set of n = 3 scores and compute SS.) (Use 1 decimal place.) (b) Using the result from part (a),...
The following data represent the results from an independent-measures experiment comparing three treatment conditions with n = 4 in each sample. Conduct an analysis of variance with α = 0.05 to determine whether these data are sufficient to conclude that there are significant differences between the treatments. Treatment A Treatment B Treatment C 18 20 22 19 18 20 18 20 19 21 22 23 F-ratio = p-value = Conclusion: There is a significant difference between treatments These data do...