Question 3 The production manager at Programmable Products wants you to test whether there is a significant difference in the mean number of defective light sensors per 1000 sensors among the three production shifts. A sample of production records showed the following. Sample of Number of Defective Units per 1000 by Shift 6 a.m. - 2 p.m. 2 p.m. 10 p.m. Shift 110 p.m. - 6 a.m. Shift Shift 15 9 20 29 18 21 18 21 22 14 35 6 a) Use the one-way ANOVA to determine if there is any evidence of a significant difference in the mean number of defective light sensors among the three production shifts. Use 5% significance level. b) What are the assumptions necessary to perform the test above? c) Based on the result in part (a), is it necessary to conduct the Tukey- Kramer Procedure to determine which production shift(s) is different?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.3: Measures Of Spread
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Question 3
The production manager at Programmable Products wants you to test
whether there is a significant difference in the mean number of defective
light sensors per 1000 sensors among the three production shifts. A sample
of production records showed the following.
Sample of Number of Defective Units per 1000 by Shift
6 a.m. - 2 p.m. 2 p.m. 10 p.m. Shift
110 p.m. - 6 a.m.
Shift
Shift
15
9
20
29
18
35
21
6
18
21
22
14
a) Use the one-way ANOVA to determine if there is any evidence of a
significant difference in the mean number of defective light sensors
among the three production shifts. Use 5% significance level.
b) What are the assumptions necessary to perform the test above?
c) Based on the result in part (a), is it necessary to conduct the Tukey-
Kramer Procedure to determine which production shift(s) is different?
Transcribed Image Text:Question 3 The production manager at Programmable Products wants you to test whether there is a significant difference in the mean number of defective light sensors per 1000 sensors among the three production shifts. A sample of production records showed the following. Sample of Number of Defective Units per 1000 by Shift 6 a.m. - 2 p.m. 2 p.m. 10 p.m. Shift 110 p.m. - 6 a.m. Shift Shift 15 9 20 29 18 35 21 6 18 21 22 14 a) Use the one-way ANOVA to determine if there is any evidence of a significant difference in the mean number of defective light sensors among the three production shifts. Use 5% significance level. b) What are the assumptions necessary to perform the test above? c) Based on the result in part (a), is it necessary to conduct the Tukey- Kramer Procedure to determine which production shift(s) is different?
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