To find the probability that a randomly chosen person has run a red light in the last year, we use the formula for probability:

$P(\text{run red light}) = \frac{\text{number of "yes" responses}}{\text{total number of responses}}$

Given:

• Number of "yes" responses = 243
• Number of "no" responses = 224
• Total number of responses = 243 + 224 = 467

Now, the probability is:

$P(\text{run red light}) = \frac{243}{467} \approx 0.520$

So, the probability that a randomly chosen person has run a red light in the last year is approximately $0.520$ or $\frac{243}{467}$.

Would you like more details or have any questions?

Here are 5 related questions:

1. What is the probability that a randomly chosen person has not run a red light in the last year?
2. How would the probability change if 50 more people responded "yes"?
3. If another survey was conducted with double the number of respondents, how might the results differ?
4. How can probabilities be used to predict future survey outcomes?
5. What is the probability if 75% of the people had run a red light?

Tip: Probabilities are always between 0 and 1, where 1 means the event is certain to happen, and 0 means it is impossible.