JEE  >  Examples : Probability Distribution of a Random Variable

# Examples : Probability Distribution of a Random Variable Video Lecture - Mathematics (Maths) Class 12 - JEE

## FAQs on Examples : Probability Distribution of a Random Variable Video Lecture | Mathematics (Maths) Class 12 - JEE

 1. What is a probability distribution of a random variable?
Ans. A probability distribution of a random variable is a mathematical function that describes the likelihood of different outcomes or values of the random variable. It assigns probabilities to each possible value, indicating the chances of each outcome occurring.
 2. How is a probability distribution represented?
Ans. A probability distribution can be represented either through a probability mass function (PMF) for discrete random variables or a probability density function (PDF) for continuous random variables. The PMF or PDF provides the probabilities associated with each possible value of the random variable.
 3. What are the characteristics of a probability distribution?
Ans. A probability distribution must satisfy certain characteristics. Firstly, the probability assigned to each value must be between 0 and 1. Secondly, the sum of probabilities for all possible values must equal 1. Lastly, the values of the random variable must be mutually exclusive and collectively exhaustive.
 4. How can the expected value of a random variable be calculated?
Ans. The expected value of a random variable is calculated by multiplying each possible value by its corresponding probability and summing up these products. It represents the average value one would expect to obtain if the random variable is repeatedly measured or observed.
 5. What is the relationship between probability distribution and statistical inference?
Ans. Probability distributions play a crucial role in statistical inference. They serve as the foundation for estimating population parameters based on sample data. By making assumptions about the underlying probability distribution, statistical tests and confidence intervals can be constructed to draw conclusions about the population from which the data were drawn.

## Mathematics (Maths) Class 12

208 videos|243 docs|139 tests

## Mathematics (Maths) Class 12

208 videos|243 docs|139 tests

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