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This Concept Map, created with IHMC CmapTools, has information related to: Unit 5 by anwur, measure of position such as standard scores (z scores), Normal curve equesttion <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> y = </mtext> <mfrac> <mtext> N </mtext> <mrow> <mtext> σ </mtext> <msqrt> <mtext> 2π </mtext> </msqrt> </mrow> </mfrac> <mmultiscripts> <mtext> e </mtext> <none/> <mfrac> <mrow> <mtext> - </mtext> <mmultiscripts> <mtext> (x- μ) </mtext> <none/> <mtext> 2 </mtext> </mmultiscripts> </mrow> <mrow> <mtext> 2 </mtext> <mmultiscripts> <mtext> σ </mtext> <none/> <mtext> 2 </mtext> </mmultiscripts> </mrow> </mfrac> </mmultiscripts> </mrow> </math>, Theoretical Distribution example is Normal curve, Normal curve example is Standard Normal curve, Standard Normal curve has μ = 0, Distributions types are Theoretical Distribution, <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> z = </mtext> <mfrac> <mrow> <mtext> x- </mtext> <munderover> <mtext> x </mtext> <none/> <mtext> _ </mtext> </munderover> </mrow> <mtext> s </mtext> </mfrac> </mrow> </math> for sample data, Normal curve characteristics are Bell shaped, Area given the raw score found by x = μ+ σz, Normal curve characteristics are symmetric, standard scores (z scores) used to find Area given the raw score, Normal curve is significant because variables distributions approximate it, Distributions types are Empirical Distribution, standard scores (z scores) equestion <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> z = </mtext> <mfrac> <mtext> x- μ </mtext> <mtext> σ </mtext> </mfrac> </mrow> </math>, standard scores (z scores) symbol z, Theoretical Distribution resulted from Mathematical Reasoning, Normal curve characteristics are Extends to +/- infinty, Represent % of scores under curve help find measure of position, standard scores (z scores) used to find Raw score given the area, Standard Normal curve has σ = 1