control manager of an automobile parts factory would like to know whether there is a difference between the proportion of defective parts produced on different days of the work week. Random samples of 100 parts produced on each day of the week were selected, with the following results: Result: Mon Tues Wed Thurs Fri # of defective parts: 12 7 7 10 14 # of non-defective parts: 88 93 93 90 86 At 5% level of significance, is there evidence of a significant difference in the proportion of defective parts produced on the various days of the week
control manager of an automobile parts factory would like to know whether there is a difference between the proportion of defective parts produced on different days of the work week. Random samples of 100 parts produced on each day of the week were selected, with the following results: Result: Mon Tues Wed Thurs Fri # of defective parts: 12 7 7 10 14 # of non-defective parts: 88 93 93 90 86 At 5% level of significance, is there evidence of a significant difference in the proportion of defective parts produced on the various days of the week
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The quality control manager of an automobile parts factory would like to know whether there is a difference between the proportion of defective parts produced on different days of the work week. Random samples of 100 parts produced on each day of the week were selected, with the following results:
Result: | Mon | Tues | Wed | Thurs | Fri |
# of defective parts: | 12 | 7 | 7 | 10 | 14 |
# of non-defective parts: | 88 | 93 | 93 | 90 | 86 |
At 5% level of significance, is there evidence of a significant difference in the proportion of defective parts produced on the various days of the week
(A ) Step-1: State the hypotheses ( H0 and H1 ), and identify the claim
(b ) Step-2: Compute P-value. Please keep 4 decimals in your answer.
( c ) Step-3: Compare P- value with significance level value ( α value) of 5% and make final conclusion about whether or not you want to rehect Ho:
( d ) Step-4: Summarize the result ( your final conclusion ) in words.
A. There is enough sample evidence to conclude that the proportion of defectives is the same for all days of the week
B. There is enough sample evidence to conclude that the proportion of defectives is different for different days of the week.
( e ) Explain the possible error made in the context of the problem.
Type II Error: since we did not reject the null hypothesis. Concluding that the proportion of defectives is the same when in reality they are different for different days of the week.
Type I Error: Since we rejected the null hypothesis. Concluding that the proportion of defectives is different for different days of the week when in reality the proportion of defectives is the same for all days of the week
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