When a production line is properly adjusted, it is found that 4% of the mechanical components produced are defective. Occasionally settings go out of adjustment, and more defectives are produced. A sample of 12 components is examined and the number of defectives is counted. What distribution applies to the number of defectives? What are the null hypothesis and the alternative hypothesis? If the level of significance is set at 1%, how many defectives can be allowed in the sample before any action is taken?
When a production line is properly adjusted, it is found that 4% of the mechanical components produced are defective. Occasionally settings go out of adjustment, and more defectives are produced. A sample of 12 components is examined and the number of defectives is counted. What distribution applies to the number of defectives? What are the null hypothesis and the alternative hypothesis? If the level of significance is set at 1%, how many defectives can be allowed in the sample before any action is taken?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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When a production line is properly adjusted, it is found that 4% of the mechanical components produced are defective. Occasionally settings go out of adjustment, and more defectives are produced. A sample of 12 components is examined and the number of defectives is counted. What distribution applies to the number of defectives? What are the null hypothesis and the alternative hypothesis? If the level of significance is set at 1%, how many defectives can be allowed in the sample before any action is taken?
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