A binomial experiment consists of 17 trials. The probability of success on trial 10 is 0.63. What is the probability of success on trial 14?

0.47
0.85
0.63
0.78
0.83
0.18

In a binomial experiment, the probability of success remains constant for each trial. This is one of the key characteristics of a binomial distribution. The probability of success on any trial, including trial 14, will be the same as the probability of success on any other trial, such as trial 10.

Since the probability of success on trial 10 is given as **0.63**, the probability of success on trial 14 will also be **0.63**.

Thus, the correct answer is:
**0.63**

Would you like further details on binomial experiments or have any questions?

Here are 5 related questions to expand your understanding:

1. What are the key properties of a binomial experiment?
2. How do you calculate the probability of a certain number of successes in a binomial experiment?
3. What is the difference between independent and dependent events?
4. How does the binomial distribution change as the number of trials increases?
5. How can you compute the mean and variance in a binomial distribution?

**Tip:** In binomial experiments, each trial is independent, meaning the outcome of one trial does not affect the outcome of another.

A binomial experiment consists of 17 trials. The probability of success on trial 10 is 0.63. What is the probability of success on trial 14?

Understand the probability of success in a binomial experiment with 17 trials, where the probability of success remains constant at 0.63 for each trial, including trial 14. Explore key concepts like binomial distribution and independent events. Suitable for Grades 9-12 students.

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