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Questions
RSM470H1 F LEC0101 In-Class Exercise 10
Numerical
What is the probability that an athlete is not a drug user, given that the test is negative?
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Standard Answer
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Approach Analysis
The question asks for P(not drug user | test is negative). To compute this precisely, we need key inputs: the base rate (prevalence) of drug use in the athlete population, the test's sensitivity (P(negative | drug user)), and the test's specificity (P(negative | not drug user)).
Option 1: Without any numeric values for prevalence, sensitivity, or specificity, we cannot determine the p......Login to view full explanationLog in for full answers
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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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