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This Concept Map, created with IHMC CmapTools, has information related to: Group-U4, Data represented in 2 ways Tables, x: 2,2,5 Mean= (2+2+5)÷ 3 = 3 characterized as sensitive to extreme scores, Central Tendency is opposed to Variability, Variability is (the extent of dispersion in a distribution), by 2 methods ???? deviation scores, Central Tendency ???? average, middle, or most frequent value of a set of scores, x: 2,2,5 Mean= (2+2+5)÷ 3 = 3 characterized as less subject to sampling variation, deviation method formula <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> s= </mtext> <msqrt> <mtext> SS÷N-1 </mtext> </msqrt> </mrow> </math>, (3) Mode the distribution may have many modes e.g., Graph Summarizes quantitatively using 2 Main measures Central Tendency, (3) variance is the squared of the standard deviation, x: 2,2,5 Mean= (2+2+5)÷ 3 = 3 characterized as ∑of the deviations = 0, (2) Mean (fulcrum of a seesaw) =Balance Point e.g. x: 2,2,5 Mean= (2+2+5)÷ 3 = 3, e.g. ???? X: 2,2,5,5,7,1,9 Mode= 2 , 5, the raw score method formula <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> SS= ∑ X2 - ( ∑ X)2÷ N </mtext> </mrow> </math>, <math xmlns="http://www.w3.org/1998/Math/MathML"> <mrow> <mtext> SS= ∑ X2 - ( ∑ X)2÷ N </mtext> </mrow> </math> the answer must be positive, Graph Summarizes quantitatively using 2 Main measures Variability, (2) Standard Deviation characterized as measure of dispersion relative to mean, X: 2,4,4,,7,7,9,9,9 Mode= 9 called unimodal: one mode (usually), Data represented in 2 ways Graph