Probability and Statistics(MA617)
Course Name:
Probability and Statistics
Programme:
MCA
Semester:
Fourth
Category:
Programme Core (PC)
Credits (L-T-P):
(3-0-0)3
Content:
Introduction of probability, total probability theorem, conditional probability, Baye's theorem, one and two dimensional random variables, functions of random variable, probability distributions, discrete and continuous cases, marginal and conditional distributions, independence of random variables, expectation and variance of a random variable, correlations, sampling theory, sampling distributions, weak law of large numbers, central limit theorem and applications, methods of estimation, parameter estimation, tests of statistical hypothesis.
References:
Meyer P.L., Introduction to Probability and Statistical Applications, Oxford & IBH, 1979.
RV Hogg and AT Craig, Introduction to Mathematical Statistics McMilan, 1975.
Department:
Mathematical and Computational Sciences
