**Educational Resource: Understanding Probabilities in Sobriety Checkpoints****Scenario:** When a man observed a sobriety checkpoint conducted by a police department, he saw 691 drivers were screened and 9 were arrested for driving while intoxicated. Based on those results, we can estimate that $ P(W) = 0.01302 $, where $ W $ denotes the event of screening a driver and getting someone who is intoxicated. What does $ P(W) $ denote, and what is its value?**Question:** What does $ P(W) $ represent?**Options:**- **A.** $ P(W) $ denotes the probability of a driver passing through the sobriety checkpoint.- **B.** $ P(W) $ denotes the probability of screening a driver and finding that he or she is intoxicated.- **C.** $ P(W) $ denotes the probability of screening a driver and finding that he or she is not intoxicated.- **D.** $ P(W) $ denotes the probability of a driver being intoxicated.**Correct Answer:** - **B. $ P(W) $ denotes the probability of screening a driver and finding that he or she is intoxicated.****Calculation:** To compute $ P(W) $, divide the number of drivers found intoxicated (9) by the total number of drivers screened (691): \[ P(W) = \frac{9}{691} \approx 0.01302 \]**Instructions:** Round $ P(W) $ to five decimal places as needed.**Additional Information:** This scenario provides insight into how to calculate the probability of a specific event occurring within a given sample, offering a practical example of statistical analysis and probability theory in real-world situations such as police checkpoints.**Reference:**© 2020 Pearson Education Inc. All rights reserved. Terms of Use | Privacy Policy | Permissions | Contact Us

When a man observed a sobriety checkpoint conducted by a police department, he saw 691 drivers were screened and 9 were arrested for driving while intoxicated. Based on those results, we can estimate that P(W)30.01302, where W denotes the event of screening a driver and getting someone who is intoxicated. What does P(W) denote, and what is its value? What does P(W) represent? O A. P(W) denotes the probability of a driver passing through the sobriety checkpoint. O B. P(W) denotes the probability of screening a driver and finding that he or she is intoxicated. OC. P(W) denotes the probability of screening a driver and finding that he or she is not intoxicated. O D. P(W) denotes the probability of driver being intoxicated. P(W) =] (Round to five decimal places as needed.) %3D

When a man observed a sobriety checkpoint conducted by a police department, he saw 691 drivers were screened and 9 were arrested for driving while intoxicated. Based on those results, we can estimate that P(W)30.01302, where W denotes the event of screening a driver and getting someone who is intoxicated. What does P(W) denote, and what is its value? What does P(W) represent? O A. P(W) denotes the probability of a driver passing through the sobriety checkpoint. O B. P(W) denotes the probability of screening a driver and finding that he or she is intoxicated. OC. P(W) denotes the probability of screening a driver and finding that he or she is not intoxicated. O D. P(W) denotes the probability of driver being intoxicated. P(W) =] (Round to five decimal places as needed.) %3D

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

**Educational Resource: Understanding Probabilities in Sobriety Checkpoints**

**Scenario:**
When a man observed a sobriety checkpoint conducted by a police department, he saw 691 drivers were screened and 9 were arrested for driving while intoxicated. Based on those results, we can estimate that $ P(W) = 0.01302 $, where $ W $ denotes the event of screening a driver and getting someone who is intoxicated. What does $ P(W) $ denote, and what is its value?

**Question:**
What does $ P(W) $ represent?

**Options:**

- **A.** $ P(W) $ denotes the probability of a driver passing through the sobriety checkpoint.
- **B.** $ P(W) $ denotes the probability of screening a driver and finding that he or she is intoxicated.
- **C.** $ P(W) $ denotes the probability of screening a driver and finding that he or she is not intoxicated.
- **D.** $ P(W) $ denotes the probability of a driver being intoxicated.

**Correct Answer:**
- **B. $ P(W) $ denotes the probability of screening a driver and finding that he or she is intoxicated.**

**Calculation:**
To compute $ P(W) $, divide the number of drivers found intoxicated (9) by the total number of drivers screened (691):
\[ P(W) = \frac{9}{691} \approx 0.01302 \]

**Instructions:**
Round $ P(W) $ to five decimal places as needed.

**Additional Information:**
This scenario provides insight into how to calculate the probability of a specific event occurring within a given sample, offering a practical example of statistical analysis and probability theory in real-world situations such as police checkpoints.

**Reference:**
© 2020 Pearson Education Inc. All rights reserved. Terms of Use | Privacy Policy | Permissions | Contact Us

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