10.4 Proportions

# P1 n11 p1 n2p2 n21 p2 are all 5 then sampling

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Unformatted text preview: ts if n1.p1, n1.(1 – p1), n2.p2, n2.(1 – p2) are all ≥ 5, then sampling distribution of can be approximated by normal distribution mean is D = p1– p2 Statistical Inference about the Difference between Two Population Proportions difference to between 2 population proportions: D = p1– p2 make inferences about D, Hypothesis Tests Use for ◦ take independent simple random samples from 2 both d p− 2 =1 p populations interval estimation◦ d p− 2 =1 p use sampling distribution of and hypothesis if n1.p1, n1.(1 – p1), n2.p2, n2.(1 – p2) are all ≥ 5, then testing sampling distribution of can be approximated by normal distribution mean is D = p1– p2 Statistical Inference about the Difference between Two Population Proportions difference sampling between 2 population proportions: D = p1– p2 pp distribution ofd= 1− 2 Hypothesis Tests Statistical Inference about the Difference between Two Population Proportions Population Proportion parameter p point estimator p standard error p1−p () σx = n Hypothesis Tests margin of error interval estimate z2 α p±z 2 α p( − p) 1 n p1−p () n Recall from chapter 8 Statistical Inference about the Difference between Two Population Proportions Population Proportion Difference Between 2 Population Proportions parameter p D = p1 – p2 point estimator p d p− 2 =1 p Hypothesis Tests standard error σx = margin of error z2 α interval estimate p±z 2 α p1−p () n p( − p) 1 n p1−p () n p( −p)...
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## This document was uploaded on 03/05/2014.

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