Elementary Statistics: A Step-by-Step Approach with Formula Card 9th Edition

Published by McGraw-Hill Education
ISBN 10: 0078136334
ISBN 13: 978-0-07813-633-7

Chapter 5 - Discrete Probability Distributions - 5-2 Mean, Variance, Standard Deviation, and Expectation - Extending the Concepts - Page 273: 20

Answer

See graph and data below. $\mu=7$ $\sigma^2=5.83$ $\sigma=2.41$

Work Step by Step

Roll two dice and add up the face numbers. (a). Total possible outcomes = $6\times6=36$ (b). Sums (S) and possible favorable outcomes for each sum are listed below: S Fav. Outcome 2 11 3 12-21 4 13-22-31 5 14-23-32-41 6 15-24-33-42-51 7 16-25-34-43-52-61 8 26-35-44-53-62 9 36-45-54-63 10 46-55-64 11 56-65 12 66 (c). The sum (S) and their probabilities (#fav.outcome/36) are listed below: S Probability 2 0.027777778 3 0.055555556 4 0.083333333 5 0.111111111 6 0.138888889 7 0.166666667 8 0.138888889 9 0.111111111 10 0.083333333 11 0.055555556 12 0.027777778 (d) the above probabilities form the distribution as shown in the figure for the sum shown on the faces when two dice are rolled. (e) The mean, variance and standard deviation can be calculated using formulas as the following: $\mu=7$ $\sigma^2=5.83$ $\sigma=2.41$
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