Asked by Simon Sazian on Jul 09, 2024
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The following contingency table provides a joint frequency distribution for a group of retired people by career and age at retirement. Age at Retirement Career 50−5556−6061−65 Over 65 Total Attorney 8418736172 College Professor 10387131150 Secretary 21456349178 Store Clerk 18447050182 Total 57168291166682\begin{array} { | c | c | c | c | c | c | } \hline \text { Career } & 50 - 55 & 56 - 60 & 61 - 65 & \text { Over 65 } & \text { Total } \\\hline \text { Attorney } & 8 & 41 & 87 & 36 & 172 \\\hline \begin{array} { c } \text { College } \\\text { Professor }\end{array} & 10 & 38 & 71 & 31 & 150 \\\hline \text { Secretary } & 21 & 45 & 63 & 49 & 178 \\\hline \text { Store Clerk } & 18 & 44 & 70 & 50 & 182 \\\hline \text { Total } & 57 & 168 & 291 & 166 & 682 \\\hline\end{array} Career Attorney College Professor Secretary Store Clerk Total 50−5581021185756−604138454416861−6587716370291 Over 65 36314950166 Total 172150178182682 Suppose one of these people is selected at random.Compute the probability that the person selected was a store clerk.
A) 0.084
B) 0.099
C) 0.316
D) 0.267
E) 0.026
Store Clerk
An individual employed in a store to assist with sales and customer service, often responsible for the checkout process, stocking, and other day-to-day tasks.
Age at Retirement
The age at which an individual chooses to leave their long-term employment, transitioning from full-time work to retirement.
Joint Frequency Distribution
A statistical measure showing the frequency of two variables occurring simultaneously.
- Implement contingency tables for the estimation of probabilities in joint frequency distributions.
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Learning Objectives
- Implement contingency tables for the estimation of probabilities in joint frequency distributions.
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