Suppose that 26% of people have a dog, 21% of people have a cat, and 13% of people own both. What is the probability that someone owns a dog or a cat? The probability of a person having a dog or a cat is 47 (Type an integer or a decimal.) CILE

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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**Problem Explanation:**

Suppose that 26% of people have a dog, 21% of people have a cat, and 13% of people own both. What is the probability that someone owns a dog or a cat?

**Solution:**

To find the probability that someone owns a dog or a cat, we can use the principle of inclusion-exclusion. The formula to find the probability of either event A or event B occurring (when they can overlap) is:

\[ P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B) \]

Here, 
- \( P(A) \) is the probability of owning a dog.
- \( P(B) \) is the probability of owning a cat.
- \( P(A \text{ and } B) \) is the probability of owning both a dog and a cat.

Given:
- \( P(A) = 26\% = 0.26 \)
- \( P(B) = 21\% = 0.21 \)
- \( P(A \text{ and } B) = 13\% = 0.13 \)

Now, substituting these values into the formula:

\[ P(A \text{ or } B) = 0.26 + 0.21 - 0.13 \]
\[ P(A \text{ or } B) = 0.34 \]

So the probability that a person has either a dog or a cat is \(34\%\) or \(0.34\).

**Transcription of Graphs or Diagrams:**

There are no graphs or diagrams present in the given image.

**Conclusion:**

The probability of a person having a dog or a cat is 47.
Transcribed Image Text:**Problem Explanation:** Suppose that 26% of people have a dog, 21% of people have a cat, and 13% of people own both. What is the probability that someone owns a dog or a cat? **Solution:** To find the probability that someone owns a dog or a cat, we can use the principle of inclusion-exclusion. The formula to find the probability of either event A or event B occurring (when they can overlap) is: \[ P(A \text{ or } B) = P(A) + P(B) - P(A \text{ and } B) \] Here, - \( P(A) \) is the probability of owning a dog. - \( P(B) \) is the probability of owning a cat. - \( P(A \text{ and } B) \) is the probability of owning both a dog and a cat. Given: - \( P(A) = 26\% = 0.26 \) - \( P(B) = 21\% = 0.21 \) - \( P(A \text{ and } B) = 13\% = 0.13 \) Now, substituting these values into the formula: \[ P(A \text{ or } B) = 0.26 + 0.21 - 0.13 \] \[ P(A \text{ or } B) = 0.34 \] So the probability that a person has either a dog or a cat is \(34\%\) or \(0.34\). **Transcription of Graphs or Diagrams:** There are no graphs or diagrams present in the given image. **Conclusion:** The probability of a person having a dog or a cat is 47.
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