Solution:-
1)
ANOVA | ||||||
Source of Variation | df | SS | MS | F | P-value | F crit |
Factors | 2 | 3182.04 | 1591.02 | 35.56 | 0.00 | 3.33 |
Errors | 29 | 1297.46 | 44.74 | |||
Total | 31 | 4479.5 |
2)
Groups | N | Sum | Mean | Variance | Stdev |
Clothes | 9 | 252 | 28 | 66.25 | 8.139 |
Food | 12 | 557 | 46.417 | 38.265 | 6.186 |
Toys | 11 | 579 | 52.636 | 34.654 | 5.887 |
3)
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: u1 = u2 = u3
Alternative hypothesis: At-least one of the u is not equal.
Formulate an analysis plan. For this analysis, the significance level is 0.05.
Analyze sample data.
F statistics is given by:-
F = 35.56
The P-value = 0.000
Interpret results. Since the P-value (0.000) is less than the significance level (0.05), we have to reject the null hypothesis.
Conclusion:-
The hypothesis of identical means can definitely be rejected. There is difference in the mean attention.
4) Clothes have a mean attention span of at least ten minutes less than other groups.
Tukey HSD results
treatments pair |
Tukey HSD Q statistic |
Tukey HSD p-value |
Tukey HSD inferfence |
Clothes vs Food | 8.8304 | 0.0010053 | ** p<0.01 |
Clothes vs Toys | 11.5890 | 0.0010053 | ** p<0.01 |
Food vs Toys | 3.1504 | 0.0832612 | insignificant |
A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. Th...
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