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The question in the image is related to a binomial experiment where the probability of success remains consistent across trials. The probability of success on trial 11 is given as 0.58. In a binomial experiment, the probability of success for each trial is independent of the trial number. Therefore, the probability of success on trial 15 is also the same as on trial 11, which is **0.58**.

So, the correct answer is **0.58**.

Would you like more details or have any questions?

Here are five related questions to expand your understanding:
1. What is a binomial experiment and what are its key properties?
2. How does the concept of independence apply to trials in binomial experiments?
3. What formula can be used to calculate probabilities in a binomial distribution?
4. How does the number of trials impact the overall distribution in a binomial experiment?
5. What are some real-life examples where binomial distributions are used?

**Tip:** In a binomial experiment, when each trial is independent, the probability of success on any trial remains the same throughout all trials.

A binomial experiment consists of 18 trials. The probability of success on trial 11 is 0.58. What is the probability of success on trial 15?

Understand how to calculate the probability of success in a binomial experiment where the probability of success on trial 11 is given as 0.58. Explore how independence of trials in binomial experiments works.

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