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STA304H1 S Module 2 Practice Problems

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An observational study was conducted, some of the results of the study are displayed in the table below. The table summarizes individual's smoking status and employment status.  Smoker Non Smoker Employed 10 37 Unemployed 20 8 If you randomly select a smoker from this study, what is the probability that you selected someone who is unemployed? Note: Your answer must be entered as a reduced fraction. For example: 20/36 would be entered as 5/9 .

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We start by restating the task: from the given table, if you randomly select a smoker, what is the probability that the person is unemployed? First, id......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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