14. Question: The population standard deviation for the body weights for employees of a company is 10 pounds. If we want to be 95% confident that the sample mean is within 3 pounds of the true population mean, what is the minimum sample size that should be taken. 15. Question: The length, in words, of the essays written for a contest are normally distributed with a population standard deviation of 442 words and an unknown population mean. If random sample of 24 essays is taken and results in a sample mean of 1330 words, find a 99% confidence interval for the population mean. Round to two decimal places.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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14. Question: The population standard deviation for the body weights for employees of a company is 10
pounds. If we want to be 95% confident that the sample mean is within 3 pounds of the true population
mean, what is the minimum sample size that should be taken.
15. Question: The length, in words, of the essays written for a contest are normally distributed with a
population standard deviation of 442 words and an unknown population mean. If random sample of 24
essays is taken and results in a sample mean of 1330 words, find a 99% confidence interval for the
population mean. Round to two decimal places.
Transcribed Image Text:14. Question: The population standard deviation for the body weights for employees of a company is 10 pounds. If we want to be 95% confident that the sample mean is within 3 pounds of the true population mean, what is the minimum sample size that should be taken. 15. Question: The length, in words, of the essays written for a contest are normally distributed with a population standard deviation of 442 words and an unknown population mean. If random sample of 24 essays is taken and results in a sample mean of 1330 words, find a 99% confidence interval for the population mean. Round to two decimal places.
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