m 1. As contracting officer for a company that manufactures lifters, you must decide whether to accept a shipment of machine parts from a supplier for use in the construction of lifters. Each shipment contains 100 new parts and you sample 10 and inspect them for defects. Your supervisor instructs you to accept a shipment only if you find no more than 1 defective part. 1. What is the probability that you will accept a shipment which has 10% defective parts? 2. On the average, how many defectives would you expect in a sample of size 10 if

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.8: Probabilities Of Disjoint And Overlapping Events
Problem 2C
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1. As contracting officer for a company that manufactures lifters,
you must decide whether to accept a shipment of machine parts from a supplier for
use in the construction of lifters. Each shipment contains 100 new parts and you
sample 10 and inspect them for defects. Your supervisor instructs you to accept a
shipment only if you find no more than 1 defective part.
1. What is the probability that you will accept a shipment which has 10% defective
parts?
2. On the average, how many defectives would you expect in a sample of size 10 if
the defect rate is 10%?
3. What would be the variance of the number of defectives for a sample of size 10
(again assume a 10% defect rate)?
Transcribed Image Text:1. As contracting officer for a company that manufactures lifters, you must decide whether to accept a shipment of machine parts from a supplier for use in the construction of lifters. Each shipment contains 100 new parts and you sample 10 and inspect them for defects. Your supervisor instructs you to accept a shipment only if you find no more than 1 defective part. 1. What is the probability that you will accept a shipment which has 10% defective parts? 2. On the average, how many defectives would you expect in a sample of size 10 if the defect rate is 10%? 3. What would be the variance of the number of defectives for a sample of size 10 (again assume a 10% defect rate)?
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