To find the probability that a randomly chosen person owns a dog, we use the formula for probability:

$P(\text{owning a dog}) = \frac{\text{Number of people who own a dog}}{\text{Total number of people surveyed}}$

We are given:

• Number of people who own a dog = 215
• Number of people who don't own a dog = 461

So, the total number of people surveyed is:

$\text{Total number of people} = 215 + 461 = 676$

Now, calculate the probability:

$P(\text{owning a dog}) = \frac{215}{676} \approx 0.318$

Rounded to two decimal places, the probability is:

$P(\text{owning a dog}) = 0.32$

Final Answer: 0.32

Would you like a more detailed explanation or have any questions about this?

Here are 5 related questions:

1. What is the probability that a randomly chosen person does not own a dog?
2. If 1000 people were surveyed, how many would you expect to own a dog?
3. What would happen to the probability if the number of dog owners increased by 50?
4. How would you calculate the odds of owning a dog instead of the probability?
5. How does the probability change if some people did not respond to the survey?

Tip: Always verify that the total number of outcomes in probability includes all possible responses, such as both owning and not owning a dog in this case.