For a single sample ses the standard error of the mean

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Unformatted text preview: n a single sample of d! ata. When you have two samples from different populations, as in the case of an independent ­ samples t ­test, you’re interested in the difference between the two means, so you want a confidence interval for µA – µB. The reasoning for this confidence interval is the same as for a single sample: Any potential value of µA – µB would be rejected if it’s more than tcrit⋅SE away from your point estimate, MA – MB. [ Independent samples: CI = ( M A " M B ) " tcrit # SE , ( M A " M B ) + tcrit # SE (9) It’s important to keep in mind what SE is in the confidence interval formulas. In both cases,...
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This document was uploaded on 02/25/2014 for the course PSYC 3101 at Colorado.

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