10.1 Mean sd Known

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Unformatted text preview: n 2 Population Means parameter μ D = μ1 – μ2 point estimator x d x− 2 =1 x standard error Hypothesis Tests margin of error interval estimate σx = zα 2 σ n σ n x ±z 2 α σ= d z2 α σ n σ2 σ 2 1 2 n 1 + n2 σ2 σ 2 1 2 n 1 d ±z 2 α + n2 σ2 σ 2 1 2 n 1 + n 2 D is the population parameter representing the difference between the two population means μ1 and μ2 Statistical Inference about the Difference between Two Population Means (σ1 and σ2 known) Population Mean Difference Between 2 Population Means parameter μ D = μ1 – μ2 point estimator x d x− 2 =1 x standard error Hypothesis Tests margin of error interval estimate σx = zα 2 σ n σ n x ±z 2 α σ= d z2 α σ n σ2 σ 2 1 2 n 1 + n2 σ2 σ 2 1 2 n 1 d ±z 2 α + n2 σ2 σ 2 1 2 n 1 + n 2 dis the point estimate for D―find the sample means and subtract to calculate the value of the point estimate for D Statistical Inference about the Difference between Two Population Means (σ1 and σ2 known) Population Mean Difference Between 2 Population Means parameter μ D = μ1 – μ2 point estimator x d x− 2 =1 x standard error Hypothesis Tests margin of error interval estimate σx = zα 2 σ n σ n x ±z 2 α σ= d z2 α σ n σ2 σ 2 1 2 n 1 + n2 σ2 σ 2 1 2 n 1 d ±z 2 α + n2 σ2 σ 2 1 2 n 1 + n 2 Standard error calculation is based on the two population standard deviations and sample sizes Statistical Inference about the Difference between Two Population Means (σ1 and σ2 known) Popul...
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This document was uploaded on 03/05/2014.

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