Many probability experiments can be reduced to two outcomes: success or failure. For example, a surgeon performs a surgery on a patient. Either the surgery was successful (success) or the surgery was unsuccessful (failure). Probability experiments such as these are called Binomial Probability Distributions.
Instructions
In your initial post:
- Discuss the requirements of a binomial probability distribution.
- Provide two real-world examples of a binomial experiment.
- Make sure to specify why these are binomial experiments.
- Determine the values of n, x, p, and q for each real-world example.
In your reply post:
- Reflect on your peer’s post and discuss what makes another student’s examples similar and different from your own examples.
- Or expound on how these can be defined as discrete random variables and why they are not continuous random variables.
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