The table summarizes results from pedestrian deaths that were caused by automobile accidents.| Driver Intoxicated? | Pedestrian Intoxicated? Yes | Pedestrian Intoxicated? No ||---------------------|----------------------------|---------------------------|| Yes | 49 | 73 || No | 289 | 565 |Table 1: This table shows the number of pedestrian deaths based on whether the driver and pedestrian were intoxicated. There are four categories:1. Both the driver and pedestrian were intoxicated: 49 cases.2. The driver was intoxicated, but the pedestrian was not: 73 cases.3. The driver was not intoxicated, but the pedestrian was: 289 cases.4. Neither the driver nor the pedestrian was intoxicated: 565 cases.Question:If one of the pedestrian deaths is randomly selected, find the probability that the driver was not intoxicated. (Please enter a decimal, and round your answer to 4 decimal places.)Probability = [Blank Box]Submit Question Button.The task is to calculate the probability for educational purposes, assuming a purely statistical perspective without judgment or implications regarding intoxication and its consequences. Students are encouraged to consider the use of basic probability principles using the data provided in the table.

Name: The table summarizes results from pedestrian deaths that were caused
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Description: The table summarizes results from pedestrian deaths that were caused by automobile accidents.| Driver Intoxicated? | Pedestrian Intoxicated? Yes | Pedestrian Intoxicated? No ||---------------------|----------------------------|----------------------

Total number of pedestrian death that were caused by automobile accident in the sample = 49 +73+289+565 = 976 Number of pedestrian death in which driver was not intoxicated = 289 +565 = 854.The probability that driver was not intoxicated will be: P(Driver not intoxicated) = Number of deaths in which driver was not intoxicatedTotal number of deaths =854976 =0.875 The required probability is 0.8750

Answered: If one of the pedestrian deaths is…

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If one of the pedestrian deaths is randomly selected, find the probability that the driver was not intoxicated. (Please enter a decimal, and round your answer to 4 decimal places.)

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

The table summarizes results from pedestrian deaths that were caused by automobile accidents.

| Driver Intoxicated? | Pedestrian Intoxicated? Yes | Pedestrian Intoxicated? No |
|---------------------|----------------------------|---------------------------|
| Yes | 49 | 73 |
| No | 289 | 565 |

Table 1: This table shows the number of pedestrian deaths based on whether the driver and pedestrian were intoxicated. There are four categories:

1. Both the driver and pedestrian were intoxicated: 49 cases.
2. The driver was intoxicated, but the pedestrian was not: 73 cases.
3. The driver was not intoxicated, but the pedestrian was: 289 cases.
4. Neither the driver nor the pedestrian was intoxicated: 565 cases.

Question:
If one of the pedestrian deaths is randomly selected, find the probability that the driver was not intoxicated. (Please enter a decimal, and round your answer to 4 decimal places.)

Probability = [Blank Box]

Submit Question Button.

The task is to calculate the probability for educational purposes, assuming a purely statistical perspective without judgment or implications regarding intoxication and its consequences. Students are encouraged to consider the use of basic probability principles using the data provided in the table.

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