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Author Question: A population proportion is to be estimated from the sample described. Approximate the 95% confidence ... (Read 47 times)

asmith134

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on: Jan 18, 2020

Question 1

A population proportion is to be estimated from the sample described. Approximate the 95% confidence interval. Round your answer to four decimal places, if necessary.

A poll of 1300 voters in one district showed that 55% of them would favor stricter gun control laws. Find the 95% confidence interval for the population proportion favoring stricter gun control laws.
◦ 0.5492 < p < 0.5508
◦ 0.5224 < p < 0.5776
◦ 0.5223 < p < 0.5777
◦ 0.5305 < p < 0.5695

Question 2

A population proportion is to be estimated from the sample described. Approximate the 95% confidence interval. Round your answer to four decimal places, if necessary.

A medical researcher wishes to estimate what proportion of babies  born at a particular hospital are born by Caesarean section. In a random sample of 144 births at the hospital, 29% were Caesarean sections.  Find the  95% confidence interval for the population proportion.
◦ 0.2144  <  p  <  0.3656
◦ 0.2365  <  p  <  0.3435
◦ 0.2067  <  p  <  0.3733
◦ 0.2837  <  p  <  0.2963
Statistical Reasoning for Everyday Life ¦ Bennett, Briggs, Triola ¦ 5th Edition
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Marked as best answer by asmith134 on Jan 18, 2020

Dinolord

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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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asmith134

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

amynguyen1221

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Reply 3 on: Yesterday
Wow, this really help

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