Does this answer look like I calculated correctly. The question is in a certain population of women 4% have had breast CA, 20% are smokers, and 3% are smokers and have had breast CA. A woman is selected at random from the population. What is the probability that she has had breast CA or smokes or both.
Does this answer look like I calculated correctly. The question is in a certain population of women 4% have had breast CA, 20% are smokers, and 3% are smokers and have had breast CA. A woman is selected at random from the population. What is the probability that she has had breast CA or smokes or both.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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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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Does this answer look like I calculated correctly. The question is in a certain population of women 4% have had breast CA, 20% are smokers, and 3% are smokers and have had breast CA. A woman is selected at random from the population. What is the probability that she has had breast CA or smokes or both.
![### Explanation of Probability Problem Involving Breast Cancer and Smoking
#### Instructions
- **Problem Statement**: Do the problem #11 on page 78 in the Chapter 3 Review questions and exercises starting on page 76.
#### Diagram
The diagram is a Venn diagram used to visualize the probabilities of two events, A and B:
- **A** represents individuals with breast cancer.
- **B** represents individuals who are smokers.
The Venn diagram has two intersecting circles with the following data:
- **Circle A (Breast Cancer)**:
- Breast Cancer only: 4% (0.04)
- **Circle B (Smokers)**:
- Smokers only: 20% (0.20)
- **Intersection of A and B (Both Breast Cancer and Smokers)**:
- Both: 3% (0.03)
#### Probability Calculation
The goal is to find the probability that a person has either breast cancer, smokes, or both.
The formula used is:
\[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \]
Where:
- \( P(A \cup B) \) is the probability of having either event A or event B or both.
- \( P(A) \) is the probability of having breast cancer: 0.04
- \( P(B) \) is the probability of being a smoker: 0.20
- \( P(A \cap B) \) is the probability of having both breast cancer and being a smoker: 0.03
The calculation follows these steps:
1. **Add probabilities of each individual event**:
\[ P(A) + P(B) = 0.04 + 0.20 \]
2. **Subtract the intersection of both events**:
\[ P(A \cup B) = 0.04 + 0.20 - 0.03 \]
This simplifies to:
\[ P(BC \cup Sm) = 0.24 - 0.03 = 0.21 \]
#### Conclusion
The probability that an individual has had breast cancer, smokes, or both is calculated to be 0.21 (21%).
This exercise demonstrates how to use the addition rule of probability involving overlapping sets (events) to avoid double-counting the intersection.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1bc805eb-60ed-457b-ab8e-02c516698c74%2Ff3ce218c-d63b-432f-a2c6-159a78024386%2Fax4ae3r_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Explanation of Probability Problem Involving Breast Cancer and Smoking
#### Instructions
- **Problem Statement**: Do the problem #11 on page 78 in the Chapter 3 Review questions and exercises starting on page 76.
#### Diagram
The diagram is a Venn diagram used to visualize the probabilities of two events, A and B:
- **A** represents individuals with breast cancer.
- **B** represents individuals who are smokers.
The Venn diagram has two intersecting circles with the following data:
- **Circle A (Breast Cancer)**:
- Breast Cancer only: 4% (0.04)
- **Circle B (Smokers)**:
- Smokers only: 20% (0.20)
- **Intersection of A and B (Both Breast Cancer and Smokers)**:
- Both: 3% (0.03)
#### Probability Calculation
The goal is to find the probability that a person has either breast cancer, smokes, or both.
The formula used is:
\[ P(A \cup B) = P(A) + P(B) - P(A \cap B) \]
Where:
- \( P(A \cup B) \) is the probability of having either event A or event B or both.
- \( P(A) \) is the probability of having breast cancer: 0.04
- \( P(B) \) is the probability of being a smoker: 0.20
- \( P(A \cap B) \) is the probability of having both breast cancer and being a smoker: 0.03
The calculation follows these steps:
1. **Add probabilities of each individual event**:
\[ P(A) + P(B) = 0.04 + 0.20 \]
2. **Subtract the intersection of both events**:
\[ P(A \cup B) = 0.04 + 0.20 - 0.03 \]
This simplifies to:
\[ P(BC \cup Sm) = 0.24 - 0.03 = 0.21 \]
#### Conclusion
The probability that an individual has had breast cancer, smokes, or both is calculated to be 0.21 (21%).
This exercise demonstrates how to use the addition rule of probability involving overlapping sets (events) to avoid double-counting the intersection.
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