PSYC 2210 Lecture 8: Chapter 8
24 Jan 2016
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Document Summary
When we know the population mean and population standard deviation we conduct a z test. When we know just the population mean we conduct a single sample t test. When we have two score sets from the same group of participants we conduct a repeated-measures t test. Many research studies require comparison of two samples (two sets of data you have collected from independent groups of participants) Independent-measures or between- subjects design: separate sample for each treatment, measures come from different participants, unlike the dependent-samples t test. If null is true, the distribution of differences between means has a mean of zero (p. 278) Once sampling distribution has been centered around value of h0, we can determine whether the one observed sample mean difference is a rare or common outcome. Two separate samples = twice the fun: n1 and n2, m1 and m2. Pooled variance will be represented by s2p df1 and df2.
