The following data summarize the results from an independent measures study comparing three treatment conditions.
I |
II |
III |
||
n = 6 |
n = 6 |
n = 6 |
||
M = 4 |
M = 5 |
M = 6 |
N = 18 |
|
T = 24 |
T = 30 |
T = 36 |
G = 90 |
|
SS = 30 |
SS = 35 |
SS = 40 |
ΣX2tot = 567 |
Use an ANOVA with α = .05 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
Null and Alternative Hypothesis:
Ho: µ1 = µ2 = µ3
H1: At least one mean is different.
Number of treatment, k = 3
Total sample Size, N = 9
df(between) = k-1 = 2
df(within) = N-k = 6
df(total) = N-1 = 8
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = 12
SS(within) = SS1 + SS2 + SS3 = 105
SS(total) = SS(between) + SS(within) = 117
MS(between) = SS(between)/df(between) = 6
MS(within) = SS(within)/df(within) = 17.5
Critical value Fc = F.INV.RT(0.05, 2, 6) = 5.143
F = MS(between)/MS(within) = 0.3429
Decision:
F < Fc, Do not reject the null hypothesis.
there is no significant differences among the three treatment means
ANOVA | |||||
Source of Variation | SS | df | MS | F | F crit |
Between Groups | 12 | 2 | 6 | 0.3429 | 5.1433 |
Within Groups | 105 | 6 | 17.5 | ||
Total | 117 | 8 |
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