Engineering Business Education Liberal Arts Total 35-44 Under 35 Total 8,399 8,663 7,072 24,134 14,515 14,988 26,687 56,190 6,738 5,667 8,655 21,060 11,415 11,456 12,125 34,996 41,067 40,774 54,539 136,380 45+ Question 5. The contingency table below represents employees of a communications company classified by age and field of expertise. a. What is the probability that a randomly selected employee is age 35-44 years old and has business expertise (P(35-44 and business))? Your Answer: b. What is the probability that a randomly selected engineer is under the age of 35 (P(under 35 | engineer))? Your Answer:

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Question
Engineering
Business
Education
Liberal Arts
Total
Under 35
8.399
14,515
6,738
11,415
41,067
35-44
45+
Total
8,663
7,072
24.134
14,988 26,687
56,190
21,060
5,667 8,655
11,456 12,125
34,996
40,774 54,539 136,380
Question 5.
The contingency table below represents employees of a communications company classified by age and
field of expertise.
a. What is the probability that a randomly selected employee is age 35- 44 years old and has
business expertise (P(35-44 and business))?
Your Answer:
b. What is the probability that a randomly selected engineer is under the age of 35 (P(under
35 engineer))?
Your Answer:
Transcribed Image Text:Engineering Business Education Liberal Arts Total Under 35 8.399 14,515 6,738 11,415 41,067 35-44 45+ Total 8,663 7,072 24.134 14,988 26,687 56,190 21,060 5,667 8,655 11,456 12,125 34,996 40,774 54,539 136,380 Question 5. The contingency table below represents employees of a communications company classified by age and field of expertise. a. What is the probability that a randomly selected employee is age 35- 44 years old and has business expertise (P(35-44 and business))? Your Answer: b. What is the probability that a randomly selected engineer is under the age of 35 (P(under 35 engineer))? Your Answer:
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