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oportion. There's a different formula for the margin of error for sample proportio p(1-p) DE = 2*. n is formula consists of three values: p is the sample proportion, n is the sample size, and z is a ultiplier that we choose based on the confidence level we need. e use the same values for z* as before: Confidence Level z value 90% 1.645 95% 1.96 99% 2.576 's practice computing a margin of error for sample proportions. Remember that the lab tested their allergy dication on 240 patients, and 20% of them reported experiencing drowsiness. Let's use a confidence lev 95% to determine the margin of error. p(1-p) member, we'll use the formula MOE = z. . First fill in the numbers for each part of the n mula: z = p= n = w put it all together, being careful with your calculator use, and rounding your answer to two decimal ces: MOE =

oportion. There's a different formula for the margin of error for sample proportio p(1-p) DE = 2*. n is formula consists of three values: p is the sample proportion, n is the sample size, and z is a ultiplier that we choose based on the confidence level we need. e use the same values for z* as before: Confidence Level z value 90% 1.645 95% 1.96 99% 2.576 's practice computing a margin of error for sample proportions. Remember that the lab tested their allergy dication on 240 patients, and 20% of them reported experiencing drowsiness. Let's use a confidence lev 95% to determine the margin of error. p(1-p) member, we'll use the formula MOE = z. . First fill in the numbers for each part of the n mula: z = p= n = w put it all together, being careful with your calculator use, and rounding your answer to two decimal ces: MOE =

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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But wait, how did we decide on the width of that interval? We again started in the middle, with the sample proportion. There's a different formula for the margin of error for sample proportions: p(1 - p) MOE = z n This formula consists of three values: p is the sample proportion, n is the sample size, and z is a multiplier that we choose based on the confidence level we need. We use the same values for z* as before: Confidence Level z* value 90% 1.645 95% 1.96 99% 2.576 Let's practice computing a margin of error for sample proportions. Remember that the lab tested their allergy medication on 240 patients, and 20% of them reported experiencing drowsiness. Let's use a confidence level of 95% to determine the margin of error. p(1 - p) Remember, we'll use the formula MOE = 2* First fill in the numbers for each part of the n formula: z = p = n = Now put it all together, being careful with your calculator use, and rounding your answer to two decimal places: MOE = S
Transcribed Image Text:But wait, how did we decide on the width of that interval? We again started in the middle, with the sample proportion. There's a different formula for the margin of error for sample proportions: p(1 - p) MOE = z n This formula consists of three values: p is the sample proportion, n is the sample size, and z is a multiplier that we choose based on the confidence level we need. We use the same values for z* as before: Confidence Level z* value 90% 1.645 95% 1.96 99% 2.576 Let's practice computing a margin of error for sample proportions. Remember that the lab tested their allergy medication on 240 patients, and 20% of them reported experiencing drowsiness. Let's use a confidence level of 95% to determine the margin of error. p(1 - p) Remember, we'll use the formula MOE = 2* First fill in the numbers for each part of the n formula: z = p = n = Now put it all together, being careful with your calculator use, and rounding your answer to two decimal places: MOE = S
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