## Probability and Statistics Notes PDF

Free Probability and Statistics notes pdf are provided here for Probability and Statistics students so that they can prepare and score high marks in their Probability and Statistics exam.

In these free 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 complete Probability and Statistics handwritten notes pdf for any university student of BCA, MCA, B.Sc, B.Tech, M.Tech branch to enhance more knowledge about the subject and to score better marks in their Probability and Statistics exam.

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Topics in our Probability and Statistics Notes PDF

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.

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## Benefits of FREE Probability and Statistics Notes PDF

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## Probability and Statistics Notes FAQs

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