Pairs population to hypothesis tests parameter d

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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 −...
View Full Document

Ask a homework question - tutors are online