Here are some important tips you can follow for JAM preparation given below.

• Before starting the preparation for IIT JAM you must know about the syllabus and exam pattern and the marking scheme.
• Make a proper preparation strategy and give time to each subject according to their difficulty level and weightage of marks.
• Prefer the good reference books for IIT JAM that helps covering the all syllabus, solved papers and sample papers.
• FOR STATISTICS -:

1. Fundamentals of Mathematical statistics: S.C. Gupta & V.K. Kapoor
2. An introduction to probability and statistics: V.K. Rohatgi

• FOR MATHEMATICS-:

1. Mathematical Analysis -S.C.Malik
2. Principle of Mathematical Analysis - Rudi

• By practicing mock test, you will get an idea about how much time you need to provide a single question. And by solving previous year you will know about which type of questions would be come in exam.
• Revision is must, the revision should be done regular basis in that try to take your test and randomly select the questions for the topics you have prepared on that day.

Important Topics:

Mathematics

· Sequences and Series

· Differential Calculus

· Integral Calculus

· Matrices

· Differential Equations

Statistics

· Probability

· Random Variables

· Standard Distributions

· Joint Distributions

· Sampling distributions

· Limit Theorems

· Estimation

· Testing of Hypotheses

In order to start your preparation make sure you are aware of the full syllabus. The Mathematical Statistics (MS) test paper comprises of Mathematics (40% weightage) and Statistics (60% weightage).

You should choose the right study material for your preparation. Below are the recommended books for your preparation-

Mathematics

Sequences and Series/Differential Calculus-

Mathematical Analysis -S.C.Malik

Mathematical Analysis - Apostol

Principle of Mathematical Analysis - Rudi

Integral Calculus-

Integral Calculus:  F. Ayres (Schaum's),  Gorakh Prasad

Matrices-

Vector Calculus:  Murray R. Spiegel (Schaum's),  A.R.Vasishtha

Differential Equations-

Ordinary Differential Equation:  Peter J. Collins,  G.F. Simmons,  M.D. Raisinghania

Statistics

Fundamentals of Mathematical statistics: S.C. Gupta & V.K. Kapoor

An introduction to probability and statistics: V.K. Rohatgi

Introduction to Mathematical statistics: Hogg & Craig

Introduction to the theory of statistics: Mod & Graybill

You should as many as mock test series for your practice and to analyze your weak and strong areas.

Good Luck!!