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Finding Standard Error Standard error • The standard error is the standard deviation of a sampling distribution – we have three types of standard errors: • Standard error of the mean – used with one sample • Standard error of the difference between the means – used with independent samples • Standard error of the mean of the differences – used with dependent or paired samples One sample sm = standard error of the mean • S = standard deviation • n = number of participants • Find the standard deviation of the sample, divide by the square root of N s sm n Two Independent Samples Sm1-m2=Standard error of difference between the means • Find Standard deviation of each separate sample (S1 and S2) • Pool(average) standard deviations S pooled (df1 )( s12 ) (df 2 )( s22 ) df1 df 2 •Standard error of Difference between the means sm1m 2 s pooled 1 1 n 1 n2 Paired or Dependent Samples Standard error of mean of differences First member Differences A1 Second member A2 B1 B2 B1-B2 C1 C2 C1-C2 D1 D2 D1-D2 E1 E2 E1-E2 A1-A2 Paired or Dependent Samples Standard error of mean of differences Smd • We work with the Differences • Smd = standard error of mean of differences • Sd = standard deviation of the differences • n = number of pairs S md sd n pairs