10.3 Matched Samples

# Pairs population to hypothesis tests parameter d

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Unformatted text preview: dependent simple random samples from 2 d x− 2 =1 x populations use difference between sample means d x− 2 =1 x random variable use sampling distribution of as the d x− 2 =1 x if both populations follow normalx−2 =1or if n1 and n2 are E =1 x µ µ d ( distribution −2 ) large enough for Central Limit Theorem to apply, then σ2 σ 2 will have a normal distribution 2 σ= 1+ d n n2 1 mean or expected value is Statistical Inference about the Mean Difference between Two Populations with Matched Data Pairs population sampling parameter: μd = x1– x2 xx distribution ofd= 1− 2 Hypothesis Tests Statistical Inference about the Difference between Two Population Means: Matched Samples Difference Between Population Means μd point estimator d standard error Hypothesis Tests parameter σd = sd n margin of error tα 2 sd n interval estimate d ± tα 2 degrees of freedom n1 − sd n Statistical Inference about the Difference between Two Population Means: Matched Samples Difference Between Population Means μd point estimator d standard error Hypothesis Tests parameter σd = sd n margin of error tα 2 sd n interval estimate d ± tα 2 degrees of freedom n1 − sd n Parameter is the mean difference Statistical Inference about the Difference between Two Population Means: Matched Samples Difference Between Population Means μd point estimator d standard error Hypothesis Tests parameter σd = sd n margin of error tα 2 sd n interval estimate d ± tα 2 degrees of freedom n1 −...
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## This document was uploaded on 03/05/2014.

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