From the course: Probability Foundations for Data Science

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Bernoulli distribution

Bernoulli distribution

From the course: Probability Foundations for Data Science

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Bernoulli distribution

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- [Instructor] In this video, you'll explore the Bernoulli distribution. Let's begin by explaining what Bernoulli trials are. A Bernoulli trial is a random experiment where there are exactly two possible outcomes for the random variable. These outcomes are often denoted as success or failure, with the probability of success being represented by P. If you have multiple Bernoulli trials, it is called a Bernoulli process. The trials are all independent from each other, meaning the outcome of one trial does not affect another. The probability of success, denoted as P, is also consistent throughout the trials, no matter how many are conducted. The Bernoulli distribution works with discrete random variables where there are only two possible values. These are generally denoted with a one for success and a zero for failure. It is a special case of the binomial distribution because only one trial is conducted for the experiment.…

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