ISI MStat, IIT JAM Stat Problems and Solutions

ISI M.Stat, IIT JAM Statistics Problems and Solutions

Mock Tests, past papers, sequential hints and training resources.

Cheenta Statistics Program for ISI MStat & IIT JAM
Explore the Statistics Program of Cheenta for ISI MStat and IIT JAM Stat and get inspired by the beauty of data with us.

How to Prepare for ISI MStat Entrance?
ISI MStat is the postgraduate statistics program taught by ISI. Let’s learn how to prepare for ISI MStat Entrance.

Bayes’ in-sanity || Cheenta Probability Series

Listen to a frequentist’s carping over Bayesian school of thinking!

Laplace in the World of Chances| Cheenta Probability Series

In this post we will be discussing mainly about, naive Bayes Theorem, and how Laplace, developed the same idea as Bayes, independently and his law of succession goes.

Bayes and The Billiard Table | Cheenta Probability Series

This post discusses how judgements can be quantified to probabilities, and how the degree of beliefs can be structured with respect to the available evidences in decoding uncertainty leading towards Bayesian Thinking.

Nonconglomerability and the Law of Total Probability || Cheenta Probability Series

This explores the unsung sector of probability : “Nonconglomerability” and its effects on conditional probability. This also emphasizes the idea of how important is the idea countable additivity or extending finite addivity to infinite sets.

Judgements in a Fitful Realm | Cheenta Probability Series

This post discusses how judgements can be quantified to probabilities, and how the degree of beliefs can be structured with respect to the available evidences in decoding uncertainty leading towards Bayesian Thinking.

Probability From A Frequentist’s Perspective || Cheenta Probability Series

This post discusses about the history of frequentism and how it was an unperturbed concept till the advent of Bayes. It sheds some light on the trending debate of frequentism vs bayesian thinking.

Some Classical Problems And Paradoxes In Geometric Probability||Cheenta Probability Series

This is our 6th post in our ongoing probability series. In this post, we deliberate about the famous Bertrand’s Paradox, Buffon’s Needle Problem and Geometric Probability through barycentres.

How to Measure the Length of your Earphone from a Pic?| Cheenta Probability Series

This is our 5th post in the Cheenta Probability Series. This article teaches how to mathematically estimate the length of an earphone wire by it’s picture.

ISI MStat PSB Problems (Year wise)

ISI MStat PSB Problems (Topic wise)

 

Probability Subjective Problems

 

Estimation Theory Subjective Problems

 

Regression Techniques Subjective Theory

 

 

Descriptive Statistics Subjective Theory

Design of Estimation & Sample Survey Subjective Problems

Theory of Equations Subjective Problems

ISI MStat PSA Problems (Topic wise)

Miscellaneous Objective Problems

  • 2019 PSA Problem 5
  • 2019 PSA Problem 8
  • 2019 PSA Problem 10
  • 2019 PSA Problem 11
  • 2019 PSA Problem 13
  • 2018 PSA Problem 15
  • 2016 PSA Problem 2
  • 2016 PSA Problem 6
  • 2016 PSA Problem 12
  • 2016 PSA Problem 13

Calculus Objective Poblems

Linear Algebra Objective Problem

  • 2019 PSA Problem 1
  • 2019 PSA Problem 7
  • 2018 PSA Problem 1
  • 2018 PSA Problem 2
  • 2018 PSA Problem 3
  • 2018 PSA Problem 4
  • 2017 PSA Problem 2
  • 2017 PSA Problem 3
  • 2017 PSA Problem 4
  • 2017 PSA Problem 5
  • 2017 PSA Problem 9
  • 2017 PSA Problem 10
  • 2016 PSA Problem 4
  • 2016 PSA Problem 7
  • 2016 PSA Problem 10
  • 2015 PSA Problem 17

 

Combinatorics Objective Problems

 

Probability Objective Problems

  • 2019 PSA Problem 18
  • 2019 PSA Problem 19
  • 2019 PSA Problem 20
  • 2019 PSA Problem 21
  • 2019 PSA Problem 22
  • 2019 PSA Problem 23
  • 2019 PSA Problem 26
  • 2019 PSA Problem 27
  • 2019 PSA Problem 29
  • 2019 PSA Problem 30
  • 2018 PSA Problem 16
  • 2018 PSA Problem 17
  • 2018 PSA Problem 18
  • 2018 PSA Problem 19
  • 2018 PSA Problem 21
  • 2018 PSA Problem 22
  • 2018 PSA Problem 24
  • 2018 PSA Problem 25
  • 2018 PSA Problem 26
  • 2018 PSA Problem 30
  • 2017 PSA Problem 15
  • 2017 PSA Problem 16
  • 2017 PSA Problem 17
  • 2017 PSA Problem 18
  • 2017 PSA Problem 19
  • 2017 PSA Problem 20
  • 2017 PSA Problem 21
  • 2017 PSA Problem 22
  • 2017 PSA Problem 24
  • 2017 PSA Problem 26
  • 2016 PSA Problem 15
  • 2016 PSA Problem 16
  • 2016 PSA Problem 17
  • 2016 PSA Problem 18
  • 2016 PSA Problem 19
  • 2016 PSA Problem 20
  • 2016 PSA Problem 21
  • 2016 PSA Problem 26
  • 2016 PSA Problem 27

Estimation Theory Objective Problems

  • 2019 PSA Problem 24
  • 2019 PSA Problem 25
  • 2019 PSA Problem 28
  • 2018 PSA Problem 27
  • 2018 PSA Problem 28
  • 2017 PSA Problem 25
  • 2017 PSA Problem 28
  • 2017 PSA Problem 29
  • 2017 PSA Problem 30
  • 2016 PSA Problem 23
  • 2016 PSA Problem 24
  • 2016 PSA Problem 28
  • 2016 PSA Problem 29
  • 2016 PSA Problem 30
  • 2009 PSB Problem 8

Regression Techniques Objective Problems

  • 2018 PSA Problem 25
  • 2017 PSA Problem 27
  • 2016 PSA Problem 22
  • 2016 PSA Problem 25

 

 

Descriptive Statistics Objective Problems

2018 PSA Problem 29

 

Design of Experiments & Sample Survey Objective Problems

  • 2018 PSA Problem 20
  • 2017 PSA Problem 23

 

 

Trigonometry Objective Problems

Complex Numbers Objective Problems

2019 PSA Problem 3

2015 PSA Problem 18

 

Theory of Equations Objective Problems

Set Theory Objective Problems

Coordinate Geometry Objective Solutions

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