Mean and variance of Bernoulli distribution tutorial
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What is the Bernoulli distribution?
Bernoulli distribution is a discrete probability distribution for a Bernoulli trial
Consider a random experiment that will have only two outcomes (“Success” and a “Failure”).
For example, the probability of getting a head while flipping a coin is 0.5. The probability of “failure” is denoted as 1 – Probability of getting a head.
It is a special scenario of the binomial distribution for n = 1. i.e. it is a binomial distribution having a single trial (e.g. a single coin toss).
In the following Bernoulli distribution, the probability of success (1) is 0.7, and the probability of failure (0) is 0.3
Mean and Variance of Bernoulli Distribution Formula
Mean and Variance of Bernoulli Distribution Example
The probability of India winning the cricket World Cup 2019 is 80%. Find Its Mean, Variance and Standard Deviation according to Bernoulli Distribution.
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