Stat_Chapter 3 Key Words

# 5 average test score 32 measures of variation range

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Unformatted text preview: = 358/4 = 89.5 average test score 3.2 Measures of Variation Range of Data Set – distance between smallest and largest endpoint values of data set Range = Maximum value – Minimum Value Sample Standard Deviation – how far on average the observations are from the mean 2 Deviations from the Mean - Example Height Deviation from the Mean Standard Deviation x x – ______________________( x – )2______ 72 -3 0 73 -2 4 76 1 1 76 1 1 78 3 9 ∑ 24 Sum of Squared Deviations – subtract mean from each observation; then square each value Sample Variance – = ∑ ( – ̅ ) = 24/5-1 = 6 (dividing by n-1 because estimating sample variance from population variance) Sample Standard Deviation – Defining Formula – how far on average the observations in the sample are from the mean of the sample (square root of standard deviation) s= ∑ ( ̅) = √6 = 2.4 inches height of starting players Example Starting Height of Players (Example No. 2): 67, 72, 76, 76, 84 Step 1: Compute Mean x = = 75 inches Step 2: Construct table to obtain sum or squared deviations = 156 ∑ Step 3: Calculate s...
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## This document was uploaded on 02/06/2014.

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