The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use a...
The following data represent the results from an independent-measures experiment comparing three treatment conditions. Use StatCrunch to conduct an analysis of variance with a = 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 5 5 12 3 6 6 5 4 10 4 7 9 3 3 8 F-ratio = p-value = Conclusion: There is a significant difference between treatments These data do not...
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...
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 =...
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 two treatment conditions. Treatment Treatment One Two 2.5 7.2 5.2 7.6 5.8 4.4 6.3 4.5 4.7 5.2 4.8 3 Using technology, run the One-way ANOVA Test for this data: F-ratio: p-value: Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic: p-value: Do you...
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 7.4 5.4 5.4 2.4 7.5 4.7 6.3 5.9 6.6 5.3 8.7 3.7 6.8 2.3 Run the single-factor ANOVA for this data: F-ratio: p-value: Now, run the t test on the same data: t-statistic: p-value: Consider how these are the same or different.
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...
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....
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...
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),...