Question

In: Math

A large advertising firm specializes in creating television commercials for children’s products. The firm wants to...

A large advertising firm specializes in creating television commercials for children’s products. The firm wants to design a study to investigate factors that may affect the lengths of time a commercial is able to hold a child’s attention. A preliminary study determines that two factors that may be important are the age of the child and the type of product being advertised. The firm wants to determine whether there were large differences in the mean length of time that the commercial is able to hold the child’s attention depending on these two factors. If there proves to be a difference, the firm would then attempt to determine new types of commercials depending on the product and targeted age group. Three age groups are used: A1: 5-6 years, A2: 7-8 years, and A3: 9-10 years. The types of products selected are P1: Breakfast cereals and P2: Video games. The data are below:

A1

A2

A3

P1

19

19

37

36

35

6

40

22

28

30

28

4

4

1

32

10

27

16

30

27

8

5

16

41

24

3

29

21

18

18

P2

39

30

51

18

47

52

32

6

43

22

27

48

16

44

39

2

26

33

36

33

56

43

48

43

7

23

40

16

21

51a.

a. Create a two-way ANOVA table in Excel.

b. Summarize your findings.

Solutions

Expert Solution

Here we have data:

A1 A2 A3
P1 19 19 37
P1 36 35 6
P1 40 22 28
P1 30 28 4
P1 4 1 32
P1 10 27 16
P1 30 27 8
P1 5 16 41
P1 24 3 29
P1 21 18 18
P2 39 30 51
P2 18 47 52
P2 32 6 43
P2 22 27 48
P2 16 44 39
P2 2 26 33
P2 36 33 56
P2 43 48 43
P2 7 23 40
P2 16 21 51

Excel output;

Anova: Two-Factor With Replication
SUMMARY A1 A2 A3 Total
P1
Count 10 10 10 30
Sum 219 196 219 634
Average 21.9 19.6 21.9 21.13333
Variance 157.6556 117.8222 177.6556 141.8437
P2
Count 10 10 10 30
Sum 231 305 456 992
Average 23.1 30.5 45.6 33.06667
Variance 191.8778 171.8333 51.15556 219.4437
Total
Count 20 20 20
Sum 450 501 675
Average 22.5 25.05 33.75
Variance 165.9474 168.4711 256.1974
ANOVA
Source of Variation SS df MS F P-value F crit
Sample 2136.067 1 2136.067 14.76544 0.000323 4.019541
Columns 1391.7 2 695.85 4.810023 0.011956 3.168246
Interaction 1273.633 2 636.8167 4.401959 0.016943 3.168246
Within 7812 54 144.6667
Total 12613.4 59

Here we have sufficient evidence to reject the null hypotheses because F-observed value (14.76544) is grater than F-critical value (4.019541) so, it is in the rejection region.

Conclusion: we can say that difference in the mean value.


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