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A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.

A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.

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
Section11.4: Collecting Data
Problem 3E
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A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.
Transcribed Image Text:A gigantic warehouse stores approximately 70 million empty aluminum beer and soda cans. Recently, a fire occurred at the warehouse. The smoke from the fire contaminated many of the cans with blackspot, rendering them unusable. A statistician was hired by the insurance company to estimate p, the true proportion of cans in the warehouse that were contaminated by the fire. How many aluminum cans should be randomly sampled to estimate p to within 0.02 with 95% confidence? The statistician should sample (Round up to the nearest can.) cans to estimate the proportion that were contaminated by the fire to within 0.02 with 95% confidence.
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