Department of Mathematics

4th Semester - 18MAT41 Complex Analysis, Probability & Statistical Methods

Sunday, May 3, 2020

MODULE - 5 JOINT PROBABILITY DISTRIBUTION & SAMPLING THEORY

JOINT PROBABILITY DISTRIBUTION AND SAMPLING THEORY
MODULE - V

CONTENTS:

Joint probability distribution: Joint Probability distribution for two discrete random variables, expectation and covariance.

Sampling Theory: Introduction to sampling distributions, standard error, Type-I and Type-II errors. Test of hypothesis for means, student’s t-distribution, Chi-square distribution as a test of goodness of fit.

1 comment:

  1. Thank you for the notes that you have provided on the probability distribution for two discrete variables, expectation and covariance. Probability is one of the most confusing and difficult topics of the maths. But the way you explained the particular topic in your notes with proper examples is very much helpful to understand the basic concepts. If the basic concept is clear only then we are able to do the extra questions. surely i will consider your notes while doing this topic. Many other students misunderstood the topic with improper guidance. If you want a deep knowledge of the topic then you must learn from well-skilled and efficient maths tuition.

    ReplyDelete