题目
题目

MGMT 101 LEC ONL: MANA... Study Checkpoint 9: Decision Analysis II

单项选择题

A recent survey asked 1000 people of different ages to express their preference between traditional shopping and online shopping. The resulting data are presented below.      Given this data, what is the (empirical) probability that a particular respondent is Gen X given they are an online shopper? Note:  Round probabilities to 2 decimal places.

选项
A.0.17
B.0.34
C.0.50
D.0.67
E.0.84
F.None of the answers are correct.
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标准答案
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思路分析
The question asks for the empirical probability that a respondent is Gen X given that they are an online shopper, i.e., P(Gen X | Online). This is computed as the number of Gen X online shoppers divided by the total number of online shoppers. Option-by-option analysis: - Option 0.17: If this were the computed ratio, it would mean Gen X online shoppers are 17% of all online shoppers. To assess its validity, we would need the actual counts: Gen X among online shoppers div......Login to view full explanation

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Question at position 6 The contingency table below represents employees of a communications company classified by age and field of expertise. What is the probability that a randomly selected employee age 35-44 years old has business expertise? (NOTE: Please provide your calculation and final answer in separate blank spaces.) Calculation is: Question Blank 1 of 2[input] Final answer is: Question Blank 2 of 2[input] ​ [table] | Under 35 | 35-44 | 45+ | Total Engineering | 8,399 | 8,663 | 7,072 | 24,134 Business | 14,515 | 14,988 | 26,683 | 56,186 Education | 6,738 | 5,657 | 8,669 | 21,064 Liberal Arts | 11,415 | 11,484 | 12,111 | 35,010 Total | 41,067 | 40,792 | 54,535 | 136,394 [/table]

Question at position 6 The contingency table below represents employees of a communications company classified by age and field of expertise. What is the probability that a randomly selected employee age 35-44 years old has business expertise? (NOTE: Please provide your calculation and final answer in separate blank spaces.) Calculation is: Question Blank 1 of 2[input] Final answer is: Question Blank 2 of 2[input] ​ [table] | Under 35 | 35-44 | 45+ | Total Engineering | 8,399 | 8,663 | 7,072 | 24,134 Business | 14,515 | 14,988 | 26,683 | 56,186 Education | 6,738 | 5,657 | 8,669 | 21,064 Liberal Arts | 11,415 | 11,484 | 12,111 | 35,010 Total | 41,067 | 40,792 | 54,535 | 136,394 [/table]

Question at position 6 The contingency table below represents employees of a communications company classified by age and field of expertise. What is the probability that a randomly selected employee age 35-44 years old has business expertise? (NOTE: Please provide your calculation and final answer in separate blank spaces.) Calculation is: Question Blank 1 of 2[input] Final answer is: Question Blank 2 of 2[input] ​ [table] | Under 35 | 35-44 | 45+ | Total Engineering | 8,399 | 8,663 | 7,072 | 24,134 Business | 14,515 | 14,988 | 26,683 | 56,186 Education | 6,738 | 5,657 | 8,669 | 21,064 Liberal Arts | 11,415 | 11,484 | 12,111 | 35,010 Total | 41,067 | 40,792 | 54,535 | 136,394 [/table]

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