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Updated By Himani Daryani on 18 Aug, 2025 12:17
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IIT JAM Mathematical Statistics Syllabus 2026: The mathematical statistics exam for IIT JAM 2026 is scheduled to be held on February 15, 2026 in the afternoon Shift from 2:30 PM to 5:30 PM. Understanding the IIT JAM Mathematical Statistics Syllabus 2026 will give you an edge in the IIT JAM 2026 exam. The syllabus combines 30% mathematics and 70% statistics concepts and includes topics like probability, random variables, standard distributions, joint distributions, sampling distributions, limit theorems, estimation, hypothesis testing, sequences and series, differential calculus, and integral calculus. To be properly prepared for IIT JAM 2026 Mathematical Statistics Exam, you should thoroughly study all of these topics. Prepare to concentrate on the most significant subjects and concepts. Once you understand the exam structure, make a study plan to cover the IIT JAM 2026 Mathematical Statistics Syllabus.
Also Read: Best Coaching Institutes for IIT JAM 2026
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Attempt nowIIT JAM syllabus 2026 PDF for Mathematical Statistics has been released by IIT Bombay. Students aspiring to appear for the IIT JAM Mathematical Statistics subject can access and download the syllabus PDF from the direct link given below.
| IIT JAM Mathematical Statistics Syllabus PDF - Download |
|---|
IIT JAM Mathematical Statistics Syllabus 2026 Important Topics in the table below can be reviewed by the students for their convenience and to simplify the vast syllabus:
| Topic | Weightage |
|---|---|
| Random Variables | 20 Marks |
| Estimation | 15 Marks |
| Differential Calculus | 13 Marks |
| Matrices | 10 Marks |
| Sequences and Series | 10 Marks |
Preparation books for IIT JAM Mathematical Statistics are available both offline and online. One can look at the listed below best books for covering IIT JAM Mathematical Statistics Syllabus 2026.
| Best Books for IIT JAM 2026 Mathematics | |
|---|---|
| Name of the Book | Author |
| Mathematical Analysis | S.C. Malik |
| Mathematical Analysis | Apostol |
| Principle of Mathematical Analysis | Rudi |
| Schaum’s Outlines Integral Calculus | Frank Ayres, Elliott Mendelson |
| Integral Calculus | Dr Gorakh Prasad |
| Vector Analysis: Schaum’s Outlines Series | Murray Spiegel, Seymour Lipschutz, Dennis Spellman |
| Geometry and Vector Calculus | A.R. Vasishtha |
| Ordinary Differential Equation | Peter J. Collins, G.F. Simmons, M.D. Raisinghania |
| Best Books for IIT JAM 2026 Statistics | |
| Introduction to the Theory of Statistics | Alexander Mood, Franklin Graybill, Duane Boes |
| An Introduction to Probability and Statistics | V.K. Rohatgi |
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