The reputation (and hence, sales) of many businesses can be severely damaged by shipments of manufactured items that contain an unusually large percentage of defectives.  For example, a manufacturer of flashbulbs for cameras may want to be reasonably certain that less than 5% of the bulbs are defective. Suppose 300 bulbs are randomly selected from a very large shipment, each is tested, and 10 defective bulbs are found.  Does this provide sufficient evidence for the manufacturer to conclude that the fraction defective in the entire shipment is less than 0.05?  Use =0.01.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.5: Interpreting Data
Problem 1C
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The reputation (and hence, sales) of many businesses can be severely damaged by shipments of manufactured items that contain an unusually large percentage of defectives.  For example, a manufacturer of flashbulbs for cameras may want to be reasonably certain that less than 5% of the bulbs are defective. Suppose 300 bulbs are randomly selected from a very large shipment, each is tested, and 10 defective bulbs are found.  Does this provide sufficient evidence for the manufacturer to conclude that the fraction defective in the entire shipment is less than 0.05?  Use =0.01.

A

B

x1=365

x2=352

s1=23

s2=41

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