The following data summarize the results from an independent measures study comparing three treatment conditions. I II III 5 3 6 3 3 8 1 7 5 1 4 2 5 3 4 T =15 T =20 T = 25 G = 60 SS =16 SS =12 SS =20 ΣX2 = 298 Use an ANOVA with α = .01 to determine whether there are any significant differences among the three treatment means a. The F-statistic is: b. Your decision is
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The following data summarize the results from an independent measures study comparing three treatment conditions.
|
I |
II |
III |
|
|
5 |
3 |
6 |
|
|
3 |
3 |
8 |
|
|
1 |
7 |
5 |
|
|
1 |
4 |
2 |
|
|
5 |
3 |
4 |
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T =15 |
T =20 |
T = 25 |
G = 60 |
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SS =16 |
SS =12 |
SS =20 |
ΣX2 = 298 |
Use an ANOVA with α = .01 to determine whether there are any significant differences among the three treatment means
a. The F-statistic is:
b. Your decision is
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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 = 6The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 3 5 6 G = 60 5 5 10 ∑X2 = 392 3 1 10 1 5 6 x̅1 = 3 x̅2 = 4 x̅3 = 8 T1 = 12 T2 = 16 T3 =32…The following data were obtained from an independent-measures study comparing three treatment conditions. Treatment 1 2 3 n=6 n=6 n=6 M=1 M=2 M=6 SS=60 SS=65 SS=40 N= 18 G= 54 Sum of squares X^2= 411 Conduct an ANOVA with to determine whether there are any significant differences among the three treatment means. (alpha=.05)
- A U.S. Food Survey showed that Americans routinely eat beef in their diet. Suppose that in a study of 49 consumers in Illinois and 64 consumers in Texas the following results were obtained from two samples regarding average yearly beef consumption: Illinois Texas = 49 = 64 = 54.1lb = 60.4lb S1 = 7.0 S2 = 8.0 What is the appropriate Test statistic? Name it and Compute its value.The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 3 5 6 G = 60 5 5 10 ∑X2 = 392 3 1 10 1 5 6 x̅1 = 3 x̅2 = 4 x̅3 = 8 T1 = 12 T2 = 16 T3 =32…The following data are from a repeated-measures experiment comparing three different treatment conditions. Participant Treatment A Treatment B Treatment C A 0 1 2 B 2 5 5 C 1 2 6 D 5 4 9 E 2 8 8 TA= 10 TB= 20 TC= 30 G= 60 SSA= 14 SSB= 30 SSc= 30 SStotal=370 Conduct a repeated measures ANOVA with alpha =.05 to determine whether there are any difference between the means. Show work for all intermediary steps and include a source table for the ANOVA and calculate the partial η2 for the effect of treatment on scores. conduct any post hoc tests to determine mean differences (if the ANOVA is significant). Set up a dataset on SPSS with data from the last problem. Calculate the ANOVA and partial η2 and report the F statistic in APA format:
- 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: MS between:The following data summarize the results from an independent-measures study comparing three treatment conditions. Treatment I II III N = 12 4 3 8 G = 48 3 1 4 ∑X2 = 238 5 3 6 4 1 6 x̅1 = 4 x̅2 = 2 x̅3 = 6 T1 = 16 T2 = 8 T3 = 24…The following data were obtained from an independent-measures research study comparing three treatment conditions. I II III 2 5 7 5 2 3 0 1 6 1 2 4 2 2 T =12 T =10 T =20 G = 42 SS =14 SS =9 SS =10 ΣX2= 182 Use an ANOVA with α = .05 to determine whether there are any significant mean differences among the treatments. a. η2 is?
- The following data were obtained from an independent-measures research study comparing three treatment conditions. I II III 2 5 7 5 2 3 0 1 6 1 2 4 2 2 T =12 T =10 T =20 G = 42 SS =14 SS =9 SS =10 ΣX2= 182 Use an ANOVA with α = .05 to determine whether there are any significant mean differences among the treatments. a. The null hypothesis in words is b. The alternative hypothesis in symbols is c. The Critical F-value is: d. The F-statistic is: e. Your decision is f. η2 isThe following data are from an experiment comparing three treatment conditions. Use an ANOVA with alpha = .05 to determine if there are any significant population mean differences. Treatments A B C Total 0 1 2 3 2 5 5 12 1 2 6 9 5 4 9 18 2 8 8 18 2 4 6 10 20 30 60 34 110 210 354 If the experiment uses an independent design (Chapter 10), can the researchers conclude there is a significant difference? What is the F-value for your test statistic? Do you retain or reject? Whether the ANOVA was significant or not, do a Tukey’s post hoc test? What is your HSD? What do you conclude?The following data summarize the results from an independent measures study comparing three treatment conditions. I II III 5 3 6 3 3 8 1 7 5 1 4 2 5 3 4 T =15 T =20 T = 25 G = 60 SS =16 SS =12 SS =20 ΣX2 = 298 Use an ANOVA with α = .01 to determine whether there are any significant differences among the three treatment means a. The null hypothesis in symbols is b. The alternative hypothesis is c. The Critical F-value is: d. The F-statistic is: e. Your decision is