Discrete Probability Distribution
What is Discrete Probability Distribution?
A probability distribution at specific time for the values and probabilities of discrete random variables is called discrete probability distribution.
What are Requirements of Discrete Probability Distribution?
Requirements of discrete probability distribution are as follows:
- Probability of discrete random variable lies between 0 and 1: 0 ≤ P (X = x) ≤ 1
- Sum of probabilities is always equal to 1: ∑P (X = x) = 1
What is Discrete and Continuous Probability Distribution?
Discrete probability distribution deals with the values and probabilities of discrete random variables at specific time whereas the continuous probability distribution deals with the values and probabilities of continuous random variables at specified interval.
Can Expected Value of Discrete Probability Distribution be Negative?
Yes, expected value of discrete probability distribution can be negative.
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
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