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Unformatted text preview: z = ( x  )/ x = + (z)( ) z = desired mean + (z)(desired standard deviation) z Score Formulas 1 The Standard Normal Curve Assumptions for using the Standard Normal Curve to determine probabilities for z Scores: The data comes from a population that is normally distributed The population mean is known The population variance is known 2 3 Linear Correlation: Pearsons r A measure of the strength, and direction, of the linear relationship between two variables Takes values ranging from 1 to 1 Values of r close to 1 or 1 indicate a stronger relationship; values close to 0 indicate a weaker relationship Positive values indicate a positive relationship; negative values indicate a negative relationship 4 z Score formula for r r = z x z y n  1 Where z x and z y are the sample ztransformed scores for the i th individual on the variables x and y , and n = the number of paired observations in the sample (i.e., half the total number of scores) z x = z x = x i X s x y i Y s y 5 Pearsons r from Covariance SP xy SS x SS y r = (x  X)(y  Y) ( (x  X) 2 )( (y  Y) 2 ) r = Computational Formula for SP xy SP xy = (xy)  ( x )( y ) n 6 Linear Regression...
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 Winter '08
 Ard

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