Unformatted text preview: ndard [email protected]: 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 [email protected] 1: Dis of means Predicted Mean: μM = .90 Standard [email protected]: 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 [email protected] 1: Dis of means Predicted Mean: μM = .90 Standard [email protected]: 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 [email protected] 1: Dis of means Predicted Mean: μM = .90 Standard [email protected]: 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 [email protected] 1: Dis of means Predicted Mean: μM = .90 Standard [email protected]: σM = 0.16 Z score cuto...
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 Winter '13
 bernard
 Psychology, 1%, 50%, 40%, the00, 9.87%, 40.13%

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