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?
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?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![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?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc0447308-e39c-44e8-bae2-f149136d0153%2F769be56c-41dd-44aa-b81a-ec585e0c2673%2Fpppk3y6_processed.jpeg&w=3840&q=75)
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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