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A study of the effect of television commercials on 12-year-old children measured their attention span, in seconds. The commercials were for clothes, food, and toys.
Clothes Food Toys
32 48 52
26 24 55
37 33 38
35 58 59
28 47 63
31 42 53
17 34 48
31 43 58
20 57 47
47 51
44 51
54
1. Complete the ANOVA table. Use 0.05 significance level. (Round the SS and MS values to 1 decimal place and F value to 2 decimal places. Leave no cells blank - be certain to enter "O" wherever required. Round the df values to nearest whole number.)
SOURCE df SS MS F P
FACTORS
ERROR
TOTAL
2. Find the values of mean and standard deviation. (Round the mean and standard deviation values to 3 decimal places.)
LEVEL N Mean StDev
Clothes
Food
Toys
3. Is there a difference in the mean attention span of the children for the various commercials?
The hypothesis of identical means can definitely be ________. There is _______ in the mean attention span
4. Are there significant differences between pairs of means?
Clothes have a mean attention span of at least ten minutes _________ the other groups
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LINEAR PROGRAMMING MODELS
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