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 =
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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