In a simple random sample of 200 workers, 23.0 percent stated that they aspire to have their boss’s job. How many of the 200 workers sampled aspire to have their boss’s job? 2. To the 95 percent confidence level, find the confidence interval estimate of all workers who aspire to have their boss’s job. Can we safely assume that less than 30% of all workers aspire to have their boss’s job? 3. If we wanted to reduce the margin of error to 4 percent, how big would our sample size have to be (again to the 95 percent confidence level)?

In a simple random sample of 200 workers, 23.0 percent stated that they aspire to have their boss’s job. How many of the 200 workers sampled aspire to have their boss’s job? 2. To the 95 percent confidence level, find the confidence interval estimate of all workers who aspire to have their boss’s job. Can we safely assume that less than 30% of all workers aspire to have their boss’s job? 3. If we wanted to reduce the margin of error to 4 percent, how big would our sample size have to be (again to the 95 percent confidence level)?

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Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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For Questions 1 – 3: In a simple random sample of 200 workers, 23.0 percent stated that they aspire to have their boss’s job.

How many of the 200 workers sampled aspire to have their boss’s job?

2. To the 95 percent confidence level, find the confidence interval estimate of all workers who aspire to have their boss’s job. Can we safely assume that less than 30% of all workers aspire to have their boss’s job?

3. If we wanted to reduce the margin of error to 4 percent, how big would our sample size have to be (again to the 95 percent confidence level)?

Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.

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