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An industrial engineer employed by a beverage bottler is interested in potential

ID: 3349849 • Letter: A

Question

An industrial engineer employed by a beverage bottler is interested in potential fatigue differences resulting from the effects of two different types of 32-ounce bottles on the time to deliver 12-bottle cases of the product. The two bottle types are glass and plastic. As a measure of the amount of effort required, he measured the elevation of the heart rate (pulse) induced by the task. Four replicates of a 22 factorial design are performed, the results follow. Analyze the data and draw conclusions. Worker Bottle Type 39 58 45 35 35 21 20 16 13 16 Glass 13 Plastic 10 42 15

Explanation / Answer

Result:

bottle type

worker1

worker 2

Total

Total glass

Glass

39

20

59

45

13

58

58

16

74

35

11

46

237

plastic

44

13

57

35

10

45

42

16

58

21

15

36

196

Total

319

114

433

Squares of all numbers

Total

1521

400

1921

2025

169

2194

3364

256

3620

1225

121

1346

1936

169

2105

1225

100

1325

1764

256

2020

441

225

666

Total

13501

1696

15197

Correction factor CF = 433^2/16 =11718.1

Total sum of squares = 39^2+45^2+…… -433^2/16

=15197-433^2/16 =3478.94

SS worker = 319^2/8+114^2/8 -433^2/16 =2626.56

SS glass = 237^2/8+196^2/8 -433^2/16   = 105.06

SS interaction = 177^2/4+60^2/4+142^2/4+54^2/4 -433^2/16 -2626.56-105.06 =52.56

Two factor ANOVA

Factor 2

Means:

Worker1

Worker2

Glass

44.3

15.0

29.6

Factor 1

Plastic

35.5

13.5

24.5

39.9

14.3

27.1

4

replications per cell

ANOVA table

Source

SS

   df

MS

F

   p-value

Factor 1 Bottle type

105.06

1

105.063

1.81

.2028

Factor 2 worker

2,626.56

1

2,626.563

45.37

0.0000

Interaction

52.56

1

52.563

0.91

.3595

Error

694.75

12

57.896

Total

3,478.94

15

To test the bottle type effect, calculated F=1.81, P=0.2028 which is > 0.05 level of significance. The effect of bottle type is not significant.

To test the worker effect, calculated F=45.37, P=0.0000 which is < 0.05 level of significance. The effect of worker is significant.

To test the interaction effect, calculated F=0.91, P=0.3595 which is > 0.05 level of significance. The effect of interaction is not significant.

bottle type

worker1

worker 2

Total

Total glass

Glass

39

20

59

45

13

58

58

16

74

35

11

46

237

plastic

44

13

57

35

10

45

42

16

58

21

15

36

196

Total

319

114

433