distributor receives a large shipment of components. The distributor would like to accept the shipment if 10% or fewer of the components are defective and to return it if more than 10% of the components are defective. She decides to sample 10 components, and to return the shipment if more than 1 of the 10 is defective. The distributor decides that she will accept the shipment only if none of the sampled items are defective. What is the minimum number of items she should sample if she wants to have a probability no greater than 0.01 of accepting the shipment if 22% of the components in the shipment are defective? Round the answer to the next largest whole number.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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A distributor receives a large shipment of components. The distributor would like to accept the shipment if 10% or fewer of the components are defective and to return it if more than 10% of the components are defective. She decides to sample 10 components, and to return the shipment if more than 1 of the 10 is defective.

The distributor decides that she will accept the shipment only if none of the sampled items are defective. What is the minimum number of items she should sample if she wants to have a probability no greater than 0.01 of accepting the shipment if 22% of the components in the shipment are defective? Round the answer to the next largest whole number.

 

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Provided information is, a distributor receives a large shipment of components. The distributor would like to accept the shipment if 10% or fewer of the components are defective and to return it if more than 10% of the components are defective.

The situation follows binomial distribution, the probability mass function of the distribution can be given as:

PX=x=Cxnpx1-pn-x

denoted as X~B(n, p)

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