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This week’s discussion we’ll be looking at Binomial Probability Distributions. A binomial probability distribution results from a procedure that meets these four requirements:

  1. The procedure has a fixed number of trials. (A trial is a single observation.)
  2. The trials must be independent, meaning that the outcome of any individual trial doesn’t affect the probabilities in the other trials.
  3. Each trial must have all outcomes classified into exactly two categories, commonly referred to as success and failure.
  4. The probability of a success remains the same in all trials.

In your initial post please provide an example of binomial probability distribution and show us how to use the binomial probability formula to find binomial probabilities.

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