Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 3 - Section 3.2 - Assess Your Understanding - Vocabulary and Skill Building - Page 151: 9

Answer

The variance: $σ^2=196$ The standard deviation: $σ=\sqrt {196}=14$

Work Step by Step

At first, let's evaluate the sample mean: $x̅=\frac{6+52+13+49+35+25+31+29+31+29}{10}=30$ Now, the variance: $s^2=\frac{Σ(x_i-x̅)^2}{n-1}=\frac{(6-30)^2+(52-30)^2+(13-30)^2+(49-30)^2+(35-30)^2+(25-30)^2+(31-30)^2+(29-30)^2+(31-30)^2+(29-30)^2}{9}=\frac{576+484+289+361+25+25+1+1+1+1}{9}=196$ The standard deviation: $s=\sqrt {196}=14$
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