1a
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.
The null hypothesis in words is
Group of answer choices
a. There are no significant differences among the three treatment means.
b. There is at least one significant mean difference among the three treatment means.
c. All the pairs of means significantly differ from each other
d. There are no significant differences between the means of groups 1 and 2
1b.
The alternative hypothesis in symbols is
Group of answer choices
a. ≠ μ3
b. H1: M1 ≠ M2≠ M3
c. H1: μ1 = μ2 = μ3
d. H1: M1 = M2 = M3
e. In Anova, we do not state the alternative hypothesis in symbols
1c.
The Critical F-value is:
1e.
The F-statistic is:
1f.
Your decision is
Group of answer choices
a. Reject the null hypothesis and conclude that there are not significant differences among the conditions
b. Reject the null hypothesis and conclude that there are significant differences among the conditions
c. Fail to reject the null hypothesis and conclude that there are not significant differences among the conditions
d. Fail to reject the null hypothesis and conclude that there are significant differences among the conditions
1g.
Calculate η2
η2 is
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