11 1 21 2 n n 1 2 dz 2 p p p p 11 1 21 2 n n 1 2

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Unformatted text preview: p ( −p ) 11 1 21 2 + n n 1 2 σ= d z2 α p( −p) p ( −p ) 11 1 21 2 + n n 1 2 d±z 2 α p( −p) p( −p) 11 1 21 2 + n n 1 2 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) p ( −p ) 11 1 21 2 + n n 1 2 σ= d z2 α p( −p) p ( −p ) 11 1 21 2 + n n 1 2 d±z 2 α p( −p) p( −p) 11 1 21 2 + n n 1 2 D is the population parameter representing the difference between the two population means p1 and p2 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) p ( −p ) 11 1 21 2 + n n 1 2 σ= d z2 α p( −p) p ( −p ) 11 1 21 2 + n n 1 2 d±z 2 α p( −p) p( −p) 11 1 21 2 + n n 1 2 is the point estimate for D―find the sample proportions d and subtract to calculate the value of the point estimate for D 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 Hypot...
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This document was uploaded on 03/05/2014.

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