**Probability and Statistics Notes PDF**

*Date: 4th Feb 2023*

In these “** Probability and Statistics Notes pdf**”, we will study the basic statistical concepts and tools which are needed to study situations involving uncertainty or randomness. The course intends to render the students to several examples and exercises that blend their everyday experiences with their scientific interests.

We have provided multiple complete probability and statistics handwritten notes pdf for any university student of BCA, MCA, B.Sc, B.Tech CSE, M.Tech branch to enhance more knowledge about the subject and to score better marks in the exam. Students can easily make use of all these probability and statistics handwritten notes pdf by downloading them.

**Topics in our Probability and Statistics Notes pdf free download**

The topics we will cover in these **Probability and Statistics Notes pdf free download** will be taken from the following list:

**Probability Functions and Moment Generating Function:** Sample space, Probability set function, Real random variables – Discrete and continuous, Cumulative distribution function, Probability mass/density functions, Transformations, Mathematical expectation, Moments, Moment generating function, Characteristic function.

**Univariate Discrete and Continuous Distributions:** Discrete distributions: Uniform, Bernoulli, Binomial, Negative Binomial, Geometric and Poisson; Continuous distributions: Uniform, Gamma, Exponential, Chi-square, Beta and normal; Normal approximation to the binomial distribution.

**Bivariate Distribution:** Joint cumulative distribution function and its properties, Joint probability density function, Marginal distributions, Expectation of function of two random variables, Joint moment generating function, Conditional distributions, and expectations.

**Correlation, Regression and Central Limit Theorem:** The Correlation coefficient, Covariance, Calculation of covariance from joint moment generating function, Independent random variables, Linear regression for two variables, Method of least squares, Bivariate normal distribution, Chebyshev’s theorem, Strong law of large numbers, Central limit theorem and weak law of large numbers.

**Probability and Statistics Notes pdf free Download**

**Probability and Statistics Book pdf**

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