Consider a binomial distribution with 15 trials. Look at a table showing binomial probabilities for various values of p, the probability of success on a single trial. For what value of p is the distribution symmetric?

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## Analyzing Symmetry in Binomial Distributions

Consider a binomial distribution with 15 trials. Look at a table showing binomial probabilities for various values of \( p \), the probability of success on a single trial. For what value of \( p \) is the distribution symmetric?

### Options:

- \( p = 0.10 \)
- \( p = 0.05 \)
- \( p = 0.50 \)
- \( p = 0.85 \)
- \( p = 0.01 \)

### Explanation:

For a binomial distribution to be symmetric, the probability of success \( p \) should be \( 0.50 \). This value means that the chances of success and failure are equal, leading to a balanced and symmetric probability distribution around the mean. 

**Graph Explanation:**

If a graph or table illustrating binomial probabilities for various values of \( p \) and 15 trials were present:
- When \( p = 0.50 \), the bar heights on the left and right sides of the mean (number of successes) would be mirror images of each other, indicating symmetry.
- For values of \( p \) significantly different from 0.50, such as 0.10, 0.05, 0.85, or 0.01, the distribution would be skewed either to the left or right, resulting in an asymmetric shape.

In conclusion, the distribution is symmetric for \( p = 0.50 \).
Transcribed Image Text:## Analyzing Symmetry in Binomial Distributions Consider a binomial distribution with 15 trials. Look at a table showing binomial probabilities for various values of \( p \), the probability of success on a single trial. For what value of \( p \) is the distribution symmetric? ### Options: - \( p = 0.10 \) - \( p = 0.05 \) - \( p = 0.50 \) - \( p = 0.85 \) - \( p = 0.01 \) ### Explanation: For a binomial distribution to be symmetric, the probability of success \( p \) should be \( 0.50 \). This value means that the chances of success and failure are equal, leading to a balanced and symmetric probability distribution around the mean. **Graph Explanation:** If a graph or table illustrating binomial probabilities for various values of \( p \) and 15 trials were present: - When \( p = 0.50 \), the bar heights on the left and right sides of the mean (number of successes) would be mirror images of each other, indicating symmetry. - For values of \( p \) significantly different from 0.50, such as 0.10, 0.05, 0.85, or 0.01, the distribution would be skewed either to the left or right, resulting in an asymmetric shape. In conclusion, the distribution is symmetric for \( p = 0.50 \).
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