The age of retirement for professional sports players (from different sports) has been summarized in a contingency table that provides a joint frequency distribution. Age at RetirementCareer 50-55 56-60 61-65Rugby 10Baseball 10Football 21Cricket 18Total593479508145634470173 2930.0620.1900.4990.2670.048OverTotal6542165411824917850182182 707What is the probability that a person played professional rugby andretired before the age of 61?

Career Rugby 10 Baseball 10 Over Total 65 34 79 42 165 50 81 41 182 45 63 49 178 44 70 50 182 59 173 293 182 707 Age at Retirement 50-55 56-60 61-65 Football 21 Cricket 18 Total 0.062 0.190 0.499 0.267 0.048 What is the probability that a person played professional rugby and retired before the age of 61?

Career Rugby 10 Baseball 10 Over Total 65 34 79 42 165 50 81 41 182 45 63 49 178 44 70 50 182 59 173 293 182 707 Age at Retirement 50-55 56-60 61-65 Football 21 Cricket 18 Total 0.062 0.190 0.499 0.267 0.048 What is the probability that a person played professional rugby and retired before the age of 61?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 15CR

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Question

The age of retirement for professional sports players (from different sports) has been summarized in a contingency table that provides a joint frequency distribution.

Age at Retirement
Career 50-55 56-60 61-65
Rugby 10
Baseball 10
Football 21
Cricket 18
Total
59
34
79
50
81
45
63
44
70
173 293
0.062
0.190
0.499
0.267
0.048
Over
Total
65
42
165
41
182
49
178
50
182
182 707
What is the probability that a person played professional rugby and
retired before the age of 61?

Definition Definition Visual representation of the relationship between two or more categorical variables. A contingency table is a categorical version of the scatterplot, which is used to visualize the linear relationship between two variables.

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