How to Prepare for IIT JAM MS Statistics Exam?

IIT JAM MS Programme is the postgraduate statistics program taught by IIT. The IIT JAM MS Entrance Examination is held from January - February(the time is not fixed for next year due to COVID-19).

IIT JAM MS Examination entirely focuseses on Objective Problems.

The exam scoring pattern is the following:

1. The examination is of 3 hours duration. There are a total of 60 questions carrying 100 marks. The entire
   paper is divided into three sections, A, B and C. All sections are compulsory. Questions in each section are
   of different types.
   
2. Section – A contains a total of 30 Multiple Choice Questions (MCQ). Each MCQ-type question has four
   choices out of which only one choice is the correct answer. Questions Q.1 – Q.30 belong to this section
   and carry a total of 50 marks. Q.1 – Q.10 carries 1 mark each and Questions Q.11 – Q.30 carries 2 marks
   each.
   
3. Section – B contains a total of 10 Multiple Select Questions (MSQ). Each MSQ type question is similar
   to MCQ but with a difference that there may be one or more than one choice(s) that are correct out of the
   four given choices. The candidate gets full credit if he/she selects all the correct answers only and no
   wrong answers. Questions Q.31 – Q.40 belong to this section and carry 2 marks each with a total of 20
   marks.
   
4. Section – C contains a total of 20 Numerical Answer Type (NAT) questions. For these NAT-type
   questions, an answer is a real number that needs to be entered using the virtual keyboard on the monitor.
   No choices will be shown for these types of questions. Questions Q.41 – Q.60 belong to this section and
   carry a total of 30 marks. Q.41 – Q.50 carries 1 mark each and Questions Q.51 – Q.60 carries 2 marks each.
   
5. In all sections, questions not attempted will result in zero marks. In Section – A (MCQ), a wrong answer will
   result in NEGATIVE marks. For all 1 mark questions, 1/3 marks will be deducted for each wrong answer.
   For all 2 marks questions, 2/3 marks will be deducted for each wrong answer. In Section – B (MSQ), there
   are NO NEGATIVE and NO PARTIAL marking provisions. There is NO NEGATIVE marking in
   Section – C (NAT) as well.

Let me discuss a little bit about the syllabus.

The Mathematics part involves

• Real Analysis
• Linear Algebra

The Broad Topics in Proabability and Statistics are

• Probability
• Estimation Theory

How to Prepare for IIT JAM MS Statistics Entrance?

I know you are waiting for this part. The truth is that, yes you can prepare yourself alone if you are enough motivated about solving problems on chance and data.

But the main problem is people don't know where to start. I will try to help you do so, in this post.

What will be my Focus?

Here, focus means with respect to your content. You have to be fully focussed on a single source for learning your topics. The best source is a book, where you can get it all. The easiest way in this information-rich world is to get lost. So, try to focus.

I always referred myself two books and therefore I recommend you to do so.

• A First Course in Probability by Sheldon Ross
• Mathematical Statistics and Data Analysis by John.A.Rice.

Just take this as the bible and you will do wonders. I can't guarantee you a position in the IIT JAM MS Statistics program, but I can guarantee you an enjoyable process of learning chance and data, which will put you in the top 10% of those in the preparation. The rest is left to luck.

For the Mathematics, portion be fluent in your 10+2 syllabus of mathematics and have a sound knowledge in Calculus and Linear Algebra.

Preparation Tips six months before the Exam:

I believe that majority are in this window. So, I strictly against any windowless than six months for the beginning of your preparation. It shows your attitude towards life and even if you get into IIT, it will cost you big somewhere in your life. So, stop procrastinating. Don't believe in that stuff that procrastinating makes you creative. That's a myth.

1. Start solving your past year's paper.
2. Make a Separate Copy
3. Try to figure out what you can solve and what you cannot.
4. Take this feedback and try to work on your weak areas.
5. Try to take some guidance from some expert like seniors, teachers, etc ( Not Necessary )
6. Repeat.

All the best!

See what our experts have to say

How to prepare for IIT JAM MS 2021 just 1 - 2 weeks before the exam?

A Preparation Strategy - A Data Analysis

Why Cheenta for IIT JAM MS Statistics Entrance Exam Preparation?

Suppose, you get into ISI / IIT or don't get into ISI / IIT after your years of hard work. We believe, that you shouldn't work hard. Working hard means, you are doing something hard against something. You are in this path of study, only because you are in love with data. Even if you are not, then try to fall in love with the path of learning and crunching information from data. We are there to help you.

Cheenta will just help you organize your study program. We will ensure that you are on the right track and don't get off track with so much information out there. We give you a study plan, which will help you complete the tasks one step at a time. We will discuss problems from past years in accordance with the theory.

Above all, we will help you to learn the applications of data and the theory you are learning. We believe, statistics and data science without applications is as boring as a kite without the thread.

So, with every bit of knowledge you gain, we will teach you the coding perspective of it.

For example You are learning Probability 1 in our curriculum and you are introduced to the idea of equally likely sampling/selection. Now the natural question comes, how do I select equally likely objects by a machine? It is just a simple line of code.

sample(10,2)
5 8

From, this will arise questions, does this give equally likely in both the steps or it is SRSWOR? Our curriculum is based on the principles of ancient india. We are all seekers. We seek more and more. That is the moto of Cheenta.

If you believe, you can do these by yourself, you can do self study, rather than joining our program. You will get much more freedom.

For more information about our coursework, you can click here.

All the best.

Stay Tuned! Stay Blessed!