Unformatted text preview: • convert to z score by dividing value by standard error • compare to absolute value of 1.96 (if greater, then significant skew or kurtosis ← KS test (KolmogorovSmirnov) • tests if data differ from a normal distribution • significant = non normal data • nonsignificant = normal data ← ← SPSS ← PP plot: analyze descriptive stats p plot • Only need normal plots • Z scores: descriptive stats frequencies stats skew and kurtosis ← ← data split file output organized by groups (gender) • after, turn off split file (data split file analyze all data)...
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 Spring '08
 Hoffman
 Normal Distribution, Standard Deviation, Split File, normal data SPSS, non normal data

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