Practice Questions on Discrete Probability Distribution
Q1. Construct the discrete probability table when a dice is rolled, and X be random variable representing the numbers greater than equal to 3.
Q2. Find the value of a from the given discrete probability table.
X | 0 | 1 | 2 | 4 |
---|---|---|---|---|
P (X = x) | 0.6 | a | 0.1 | 0.3 |
Q3. Find the expected value of discrete probability distribution using below table.
X | 4 | 5 | 6 | 7 |
---|---|---|---|---|
P (X = x) | 0.21 | 0.35 | 0.42 | 0.02 |
Q4. Determine the probability if the number of trials is 100, number of successes is 94 and the probability of failure is 0.4.
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