PSY201 9.30.13 To Post

58 074 09 106 122 94 populaon 1 dis of

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Unformatted text preview: ndard devia@on: σM = 0.16 0.88 1.04 1.2 1.36 1.52 Z =  ­1.645, Raw = 0.94 0.58 0.74 0.9 1.06 1.22 .94 Popula@on 1: Dis of means Predicted Mean: μM = .90 Standard devia@on: σM = 0.16 Where does the Z score cutoff fall on distribuDon 1? 0.88 1.04 1.2 1.36 1.52 Z =  ­1.645, Raw = 0.94 3.  Figure the Z score for this cutoff point, but on the distribuDon of means for PopulaDon 1 a)  On the distribuDon of means for PopulaDon 1, shade the region more extreme this Z score; this shaded region shows the power of the study Z = (X – M)/SD = (Raw cutoff – predicted mean)/σM Z = (0.94 – 0.90)/0.16 Z = 0.25 10 9/29/13 0.58 0.74 0.9 1.06 1.22 .94 Popula@on 1: Dis of means Predicted Mean: μM = .90 Standard devia@on: σM = 0.16 Z score cutoff: Z = 0.25 Z = 0.25, Raw = 0.94 0.88 1.04 1.2 1.36 1.52 Z =  ­1.645, Raw = 0.94 4.  Using the normal curve table, determine the probability (percentage) of geeng a score more extreme than that Z ­score a)  That percentage = power b)  Beta is the opposite of power (β = 100%  ­ Power) 0.58 0.74 0.9 1.06 1.22 .94 Popula@on 1: Dis of means Predicted Mean: μM = .90 Standard devia@on: σM = 0.16 Z score cutoff: Z = 0.25 Z = 0.25, Raw = 0.94 0.88 1.04 1.2 1.36 1.52 Z =  ­1.645, Raw = 0.94 11 9/29/13 0.58 0.74 0.9 1.06 1.22 .94 Popula@on 1: Dis of means Predicted Mean: μM = .90 Standard devia@on: σM = 0.16 Z score cuto...
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