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Author Question: Find an estimate of the sample size needed to obtain the specified margin of error for the 95% ... (Read 50 times)

khang

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on: Jan 18, 2020

Question 1

Find an estimate of the sample size needed to obtain the specified margin of error for the 95% confidence interval of a population mean.

A researcher wishes to estimate the mean height of women aged between 60 and 65 in the U.S. She desires a margin of error of  0.1 inches. Past studies suggest that a population standard deviation of
is reasonable. Estimate the minimum sample size needed to estimate the population mean with the stated accuracy.
◦ 2178
◦ 66
◦ 4356
◦ 436

Question 2

Find an estimate of the sample size needed to obtain the specified margin of error for the 95% confidence interval of a population mean.

A college teacher wishes to estimate the mean number of hours worked per week at non-college related jobs by full-time students at the college.  He desires a margin of error of 1.3 hours. Past studies suggest that a population standard deviation of 13.6 hours is reasonable. Estimate the minimum sample size needed to estimate the population mean with the stated accuracy.
◦ 219
◦ 438
◦ 569
◦ 21
Statistical Reasoning for Everyday Life ¦ Bennett, Briggs, Triola ¦ 5th Edition
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Marked as best answer by khang on Jan 18, 2020

trog

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Reply #1 on: Jan 18, 2020
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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khang

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Reply 2 on: Jan 18, 2020
Thanks for the timely response, appreciate it

ultraflyy23

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Reply 3 on: Yesterday
Excellent

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