How Do We Calculate Expected Defects in Quality Control Samples?

AI Thread Summary
To calculate the expected number of defects in a sample of 20 parts, the occurrence rates for defects are used: 0 defects (82%), 1 defect (13%), 2 defects (4%), and 3 defects (1%). The calculation involves multiplying the number of defects by their probabilities, resulting in a total of 0.24 for the expected defects per part. Multiplying this by 20 gives an expected number of 4.8 defects in the next sample. The discussion highlights a misunderstanding regarding the expected value calculation, clarifying that the expected number cannot exceed the maximum defect count provided. The final conclusion is that the expected number of defects is indeed 4.8.
Calculator14
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Homework Statement



The number of defects in a sample of 20 parts is recorded for quality control purposes; over the last year the number of defects and their occurrence rate has been : 0 defects, 82%; 1 defect, 13%; 2 defects, 4%; 3 defects, 1%. Find the expected number of defects in the next sample of 20 parts.

Homework Equations



(work shown below)

The Attempt at a Solution



1*.13+2*.04+3*.01=.24
20*.24=4.8 the expected number of defects in the next sample of 20 parts.
 
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Hi Calculator14! :smile:
Calculator14 said:
1*.13+2*.04+3*.01=.24
20*.24=4.8 the expected number of defects in the next sample of 20 parts.

hmm … you don't know when to stop, do you? :redface:

How can the expected number be between 4 and 5 when the given probabilities only go up to 3 ??

What do you think the 0.24 is ? :wink:
 
OHHHHHHHH! So I think I went a little too far with this, haha! My apologies tiny-tim, thank you for pointing out my mistake! I believe my answer should be .24??
 
he he! :biggrin:

yes :smile:
 
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