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MTH202 Probability and Statistics
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SESSION 2017-18 EVEN SEM
MATHEMATICS
MTH202(2017-18)
Independence and the Law of Large Numbers
Law of large numbers
Law of large numbers
Chebyschev's Inequality and the weak Law of Large Numbers
Click
llnetc.pdf
link to view the file.
◄ Independence, covariance and correlation
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News forum
Grading Policy
How to do lab sessions
List of books
Lavine's Book
Online Open Source Book
A Course Web site
A "Random" resource
Veritasium on Bayes Theorem
Prob and Stats with Examples using R
An external PDF about Poission
HTML Notes on Boolean Algebra
Notes on Boolean Algebra
HTML Notes on the Laws of Probability
Notes on the Laws of Probability
Assignment 1
Lab Session 1
Solution to Assignment 1
Solution to Quiz 1
Frequency and Probability
Discrete Random Variables
Infinity in the Laws of Probability
Assignment 2
Lab Assignment 2
Solution to Assignment 2
Independence, covariance and correlation
Solution to First Mid-Semester Examination
A Challenging problem
Attributes of Distributions
The Binomial and Negative Binomial Distributions
Assignment 3
Solutions to Quiz 2
Lab Assignment 3
Solutions to Assignment 3
Solutions to Quiz 3
Some fundamental approximations.
Poisson and Waiting Time as limits
Poisson as Limit of Binomial
Some standard Distributions
Poisson Density as limit of Negative Binomial
Normal as limit of Binomial and others
From Binomial to Normal
Assignment 4
Solutions to Assignment 4
Lab Session 4
Data Visualisation 1
Data Visualisation 2
Maximum Likelihood Estimation
Lab Assignment 5
Correctness of Estimation
Bayesian Inference and Prediction
Testing of Hypothesis
Lab Session 6
Normal Linear Regression
Linear Regression and ANOVA in R
Some questions on MLE with solutions
Some questions on Bayesian Inference with solutions
Solutions to Second Mid-Semester Exam
Solutions to Quiz 4
Solutions to Second Mid-Semester Examination
Solutions to End Sem
Solution to First Mid-Semester Examination ►
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