Problem 22
Question
A city is divided into 4 voting precincts, \(A, B, C,\) and \(D\). Table 17.20 shows the results of mayoral election held for two candidates, a Republican and a Democrat.$$ \begin{array}{c|c|c|c} \hline \text { Precinct } & \text { Number voters } & \text { Republican } & \text { Democrat } \\ \hline \mathrm{A} & 10,000 & 4,200 & 5,800 \\ \mathrm{~B} & 15,000 & 7,100 & 7,900 \\ \mathrm{C} & 17,000 & 8,200 & 8,800 \\ \mathrm{D} & 18,000 & 12,400 & 5,600 \\ \hline \end{array}$$ Assuming random selection, what is the probability, given as a percentage, that a voter: (a) Lives in precinct \(B ?\) (b) Is a Republican? (c) \(\operatorname{Both}(\) a) and \((\mathrm{b})\) (d) Is Republican given that he or she lives in precinct \(B ?\) (e) Lives in precinct \(B\) given that he or she is Republican?
Step-by-Step Solution
VerifiedKey Concepts
Probability
Understanding probability can be broken down as follows:
- **Basic Probability**: This is calculated by dividing the number of successful outcomes by the total number of possible outcomes.
- **Conditional Probability**: This is the probability of an event occurring, given that another event has already occurred. For example, finding the probability of a voter being Republican, given that they live in Precinct B, is conditional probability.
Statistics
When calculating these probabilities, it is crucial to understand the role of different statistical measures:
- **Summation**: This involves adding up numbers to find totals, like all the voters in this city.
- **Percentage Calculation**: The total number of specific voters is often represented in terms of percentage for better understanding of proportions.
Voting Data Analysis
Key components in this analysis are:
- **Data Segmentation**: Breaking down data into smaller segments, such as each precinct's voting data, can provide deeper insights.
- **Comparative Analysis**: Understanding the differences between segments, such as comparing turnout in different precincts or between political parties.