Discrete Probability Distribution Variance
Variance of discrete probability distribution is defined as the product of squared difference of distribution and mean with PMF. The variance of the discrete probability distribution is given by:
Var[X] = ∑(x – μ)2 P(X = x)
Discrete Probability Distribution
Discrete probability distribution counts occurrences with finite outcomes. The common examples of discrete probability distribution include Bernoulli, Binomial and Poisson distributions.
In this article we will explore discrete probability distribution along with discrete probability distribution definition, discrete probability distribution condition and discrete probability distribution formulas.
Table of Content
- What is Discrete Probability Distribution?
- Conditions for Discrete Probability Distribution
- Discrete Probability Distribution Formulas
- Discrete Probability Distribution Mean
- Discrete Probability Distribution Variance
- How to Find Discrete Probability Function
- Types of Discrete Probability Distribution