In: Statistics and Probability
A psychologist would like to examine the effects of sugar consumption on the activity level of preschool children. Three samples of children are selected with n = 5 in each sample. One group gets no sugar, one group gets a small dose, and the third group gets a large dose. The psychologist records the activity level for each child. The data from this experiment are presented below. a. Clearly state the findings of your analysis. Report p-value. b. Compute η2 , the percentage of variance accounted for by the treatment. c. Test for the homogeneity of variance assumption. No sugar Small dose Large dose 5 3 6 3 3 8 1 7 7 G = 71 1 4 9 ΣX2 = 419 5 3 6 T = 15 T = 20 T = SS = 16 SS = 12 SS =
Result:
A psychologist would like to examine the effects of sugar consumption on the activity level of preschool children. Three samples of children are selected with n = 5 in each sample. One group gets no sugar, one group gets a small dose, and the third group gets a large dose. The psychologist records the activity level for each child. The data from this experiment are presented below. a. Clearly state the findings of your analysis. Report p-value. b. Compute η2 , the percentage of variance accounted for by the treatment. c. Test for the homogeneity of variance assumption. No sugar Small dose Large dose 5 3 6 3 3 8 1 7 7 G = 71 1 4 9 ΣX2 = 419 5 3 6 T = 15 T = 20 T = SS = 16 SS = 12 SS =
Ho: µ1= µ2= µ3
H1: At least one of the mean is different from the others
| 
 No sugar  | 
 small dose  | 
 large dose  | 
||
| 
 5  | 
 3  | 
 6  | 
||
| 
 3  | 
 3  | 
 8  | 
||
| 
 1  | 
 7  | 
 7  | 
||
| 
 1  | 
 4  | 
 9  | 
||
| 
 5  | 
 3  | 
 6  | 
 Total  | 
|
| 
 sum  | 
 15  | 
 20  | 
 36  | 
 71  | 
| 
 sum of squares  | 
 61  | 
 92  | 
 266  | 
 419  | 
| 
 SS  | 
 16  | 
 12  | 
 6.80  | 
 34.8  | 

Between group sum of square = 82.9333-34.8 = 48.1333
| 
 ANOVA  | 
||||
| 
 Source of Variation  | 
 SS  | 
 df  | 
 MS  | 
 F  | 
| 
 Between Groups  | 
 48.1333  | 
 2  | 
 24.0667  | 
 8.2989  | 
| 
 Within Groups  | 
 34.8000  | 
 12  | 
 2.9000  | 
|
| 
 Total  | 
 82.9333  | 
 14  | 
P value = 0.0055
Table value of F with (DF1=2, DF2=12 ) at 0.05 level=3.89
Calculated F=8.2989 > 3.89 the table value
The null hypothesis is rejected.
The data indicate there is a significant difference among the three groups
b).
η2 = 48.1333/82.9333
=0.5804
percentage of variance accounted for by the treatment =58.04%
c).
MINITAB used.
Test for Equal Variances: No sugar, small dose, large dose
Method
| 
 Null hypothesis  | 
 All variances are equal  | 
| 
 Alternative hypothesis  | 
 At least one variance is different  | 
| 
 Significance level  | 
 α = 0.05  | 
95% Bonferroni Confidence Intervals for Standard Deviations
| 
 Sample  | 
 N  | 
 StDev  | 
 CI  | 
| 
 No sugar  | 
 5  | 
 2.00000  | 
 (0.961059, 7.9855)  | 
| 
 small dose  | 
 5  | 
 1.73205  | 
 (0.388082, 14.8317)  | 
| 
 large dose  | 
 5  | 
 1.30384  | 
 (0.505920, 6.4470)  | 
Individual confidence level = 98.3333%
Tests
| 
 Method  | 
 Test  | 
 P-Value  | 
| 
 Multiple comparisons  | 
 —  | 
 0.488  | 
| 
 Levene  | 
 0.42  | 
 0.667  | 
Calculated Levene test 0.42, P=0.667 which is > 0.05 level of significance. Ho is not rejected.
We conclude that homogeneity of variance assumption. Is not violated.