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题目
题目

BRED001 Week 3 Practice Quiz

数值题

Socceroos Ltd manufactures World Cup soccer balls in 2 models: premium and standard. An auditor engaged in a compliance audit of the firm is validating the sales account for April. She has collected 200 invoices for the month. Of the 140 retail invoices, 28 are for the standard model. Of the wholesale invoices, 24 are for the standard model. If the auditor selects one invoice at random,  D. Find the following probabilities that an invoice for the premium model given that it’s a retail invoice. and record the probability in percentage 

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标准答案
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思路分析
The auditor is focusing on retail invoices only and wants the probability that an invoice is for the premium model given that it is a retail invoice. First, d......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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