This question is asking about the four key requirements for a probability experiment to qualify as a binomial experiment.

Here are the four correct conditions required for a binomial experiment:

1. There is a fixed number of trials.
2. Each trial has only two outcomes (commonly referred to as "success" or "failure").
3. The outcomes are independent of each other. (The result of one trial does not affect the result of another trial.)
4. The probability of success remains the same in each trial.

You should select these four options on the interface.

Do you need any additional details or clarification?

Here are five related questions to expand your understanding:

1. What is an example of a binomial experiment in real life?
2. How do we calculate the probability in a binomial distribution?
3. What is the difference between a binomial experiment and a geometric experiment?
4. How does the binomial coefficient relate to binomial probability?
5. What happens to the binomial distribution as the number of trials increases?

Tip: In a binomial distribution, you can use the binomial formula to compute the probability of a specific number of successes, which involves the binomial coefficient.