Probability and Binomial Distributions of Data

Concept

Binomial Experiment

A binomial experiment is a probability experiment that has the following three properties.

  1. There is a fixed number of independent trials.
  2. Each trial has exactly two possible outcomes — success and failure.
  3. For each trial, the probability of success is constant.

Details of each property can be seen in the applet by selecting the corresponding number.

properties of a binomial experiment

The number of successes in a binomial experiment is a random variable that has a binomial distribution.

Example

One of the most well-known examples of a binomial experiment is flipping a coin. There are only two possible outcomes, heads and tales. Either heads or tails could be considered a success, depending on the situation. The outcome of one toss does not impact the probability of the outcome of the next trial.

flipping a coin

Extra

An Experiment Reducible to a Binomial Experiment
Note that many probability experiments can be reduced so that they satisfy the conditions of a binomial experiment. In case of rolling a die, there are six possible outcomes. However, they can be divided into two groups — even numbers and odd numbers, for example.

After grouping the outcomes, there are two possible results of each trial — rolling an even number or an odd number. The probability of rolling a number from either group is constant throughout the trials, and the result of rolling the die is not affected by the previous results.

rolling a die

Therefore, rolling a die can also be considered as a binomial experiment as long as success and failure are clearly defined.

Exercises
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