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is exercise illustrates that poor quality can affect schedules and costs. A manufacturing ocess has 100 customer orders to fill. Each order requires one component part that is purchased m a supplier. However, typically, 2% of the components are identified as defective, and the mponents can be assumed to be independent. he manufacturer stocks 100 components, what is the probability that the 100 customer orders a be filled, and all will be non-defective? a. NONE b. 0.1326 c. 1.0000 170

is exercise illustrates that poor quality can affect schedules and costs. A manufacturing ocess has 100 customer orders to fill. Each order requires one component part that is purchased m a supplier. However, typically, 2% of the components are identified as defective, and the mponents can be assumed to be independent. he manufacturer stocks 100 components, what is the probability that the 100 customer orders a be filled, and all will be non-defective? a. NONE b. 0.1326 c. 1.0000 170

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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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This exercise illustrates that poor quality can affect schedules and costs. A manufacturing process has 100 customer orders to fill. Each order requires one component part that is purchased from a supplier. However, typically, 2% of the components are identified as defective, and the components can be assumed to be independent. If the manufacturer stocks 100 components, what is the probability that the 100 customer orders can be filled, and all will be non-defective? O a. NONE O b.0.1326 Oc. 1.0000 O d. 1.268 x 10-170
Transcribed Image Text:This exercise illustrates that poor quality can affect schedules and costs. A manufacturing process has 100 customer orders to fill. Each order requires one component part that is purchased from a supplier. However, typically, 2% of the components are identified as defective, and the components can be assumed to be independent. If the manufacturer stocks 100 components, what is the probability that the 100 customer orders can be filled, and all will be non-defective? O a. NONE O b.0.1326 Oc. 1.0000 O d. 1.268 x 10-170
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