RS Aggarwal Class 12 Probability Distribution PDF
Welcome to sidclasses.in. Here we have provided RS Aggarwal Class 12 Probability Distribution PDF which you can download very easily. Rs Aggarwal is a mathematics book based on NCERT with lots of questions to practice. If you have cleared your concept from NCERT maths book class 12 then now it’s time for you to go for the question of RS Aggarwal Class 12 Probability Distribution PDF.
What is Probability Distribution?
A probability distribution is a mathematical function that describes the probability of different outcomes in a random event or experiment. It assigns a probability to each possible outcome of an experiment, with the property that the sum of all the probabilities is equal to 1.
There are several types of probability distributions, each with its own characteristics and uses. Some of the most common types of probability distributions include:
- Discrete probability distributions: These are used for random variables that can take on a finite or countable number of distinct values, such as the number of heads in a coin toss. Examples include the binomial distribution, the Poisson distribution, and the geometric distribution.
- Continuous probability distributions: These are used for random variables that can take on an infinite number of values within a certain range, such as the time it takes for a light bulb to burn out. Examples include the normal distribution (also known as the Gaussian distribution), the exponential distribution, and the uniform distribution.
- Multivariate probability distributions: These are used for random variables that have multiple dimensions, such as the position and velocity of a particle. Examples include the multivariate normal distribution and the multivariate t-distribution.
Probability distributions are used in many fields such as statistics, machine learning, and finance. They are used to model random processes, to make predictions, and to make decisions under uncertainty.
Ch-31-Probability-DistributionRS Aggarwal Class 12 (All Chapters PDF)
| Chapter no. | chapter name | |
|---|---|---|
| 1 | Relations | Download |
| 2 | Functions | Download |
| 3 | Binary Operations | Download |
| 4 | Inverse Trigonometric Functions | Download |
| 5 | Matrices | Download |
| 6 | Determinants | Download |
| 7 | Adjoint and Inverse Of Matrix | Download |
| 8 | System of Linear Equations | Download |
| 9 | Continuity and Differentiability | Download |
| 10 | Differentiations | Download |
| 11 | Applications of Derivatives | Download |
| 12 | Indefinite Integrals | Download |
| 13 | Methods of integration | Download |
| 14 | Some Special integrals | Download |
| 15 | Integration using Partial Functions | Download |
| 16 | Definite integrals | Download |
| 17 | Area of Bounded Regions | Download |
| 18 | Differential equations and their formations | Download |
| 19 | Differential equations with variable separable | Download |
| 20 | Homogeneous Integral equations | Download |
| 21 | Linear Differential equations | Download |
| 22 | Vectors And Their Properties | Download |
| 23 | Scalar, or Dot product of Vectors | Download |
| 24 | Cross or vector products of Vector | Download |
| 25 | Product of three vectors | Download |
| 26 | Fundamental Concepts of 3D Geometry | Download |
| 27 | Straight Line in Space | Download |
| 28 | The Plane | Download |
| 29 | Probability | Download |
| 30 | Bayes’s Theorem and its Applications | Download |
| 31 | Probability Distribution | Download |
| 32 | Binomial Distributions | Download |
| 33 | Linear Programming | Download |