How to Prepare for JAM 2020 Mathematical Statistics – Candidates who are willing to take admissions in M.Sc Mathematical Statistics programme offered by IIT's and IISc must start their preparation for JAM 2020 exam. To prepare for JAM Mathematical Statistics 2020 exam, candidates must be familiar with the syllabus and exam pattern of the entrance exam. One of the most important thing that a candidate must do while preparing for JAM 2020 Mathematical Sciences exam is to form a proper study time table. In order to prepare well for the entrance exam of JAM Mathematical Statistics 2020, candidates must practice previous year question papers, mock test and sample papers. Practicing JAM Mock Test for M.Sc Mathematical Statistics will not only give candidates an idea about the entrance examination pattern but will also help in time management. The entrance exam of JAM for Mathematical Statistics will be conducted on February 9, 2020 in the first session between 9:30 am to 12:30 pm.With the help of ‘How to prepare for JAM 2020 Mathematical Statistics’, candidates will be able to get a proper direction about their exam preparation strategy.
Practice free JAM 2020 Mock Test for Mathematical Statistics and other subjects
JAM 2020 Application Form to be released on September 5
How to Prepare for JAM 2020 Mathematical Statistics – Preparation Tips
Candidates appearing for the entrance test of JAM Mathematical Statistics 2020 must go through various stages of preparation, which includes getting familiar with the syllabus, preparing a timetable, practicing mock test, solving previous year questing paper and sample papers, etc.
How to Prepare for JAM Mathematical Statistics 2020 - Syllabus
IIT Kanpur has released the syllabus of JAM 2020 for Mathematical Statistics exam in online mode. To start the preparation of JAM 2020 Mathematical Statistics, it is very necessary for a candidate to get acquainted with the syllabus. Candidates must check the syllabus of JAM 2020 for Mathematical Statistics before preparing a timetable.
Differential Calculus: Limits, Continuity and differentiability of functions of one and two variables. Rolle's theorem, Mean value theorems, Taylor's theorem, Indeterminate forms, Maxima and Minima of functions of one and two variables.
Sequences and Series: Convergence of sequences of real numbers, Comparison, root and ratio tests for convergence of series of real numbers.
Matrices: Rank, inverse of a matrix. Systems of linear equations. Linear transformations, eigenvalues and eigenvectors. Cayley-Hamilton theorem, symmetric, skew-symmetric and orthogonal matrices.
Integral Calculus: Fundamental theorems of integral calculus. Double and triple integrals, applications of definite integrals, arc lengths, areas and volumes.
Random Variables: Probability mass function, probability density function and cumulative distribution functions, distribution of a function of a random variable. Mathematical expectation, moments and moment generating function. Chebyshev's inequality.
Standard Distributions: Binomial, negative binomial, geometric, Poisson, hypergeometric, uniform, exponential, gamma, beta and normal distributions. Poisson and normal approximations of a binomial distribution.
Probability: Axiomatic definition of probability and properties, conditional probability, multiplication rule. Theorem of total probability. Bayes’ theorem and independence of events.
Joint Distributions: Marginal and conditional distributions, Joint, Distribution of functions of random variables. Joint moment generating function. Product moments, correlation, Simple linear regression. Independence of random variables.
Limit Theorems: Weak law of large numbers. Central limit theorem (i.i.d.with finite variance case only).
Testing of Hypotheses: Basic concepts, Applications of Neyman-Pearson Lemma for testing simple and composite hypotheses. Likelihood ratio tests for parameters of univariate normal distribution.
Estimation: Unbiasedness, Consistency and efficiency of estimators, Method of moments and method of maximum likelihood. Sufficiency, Factorization theorem. Completeness, Rao-Blackwell and Lehmann-Scheffe theorems, Uniformly minimum variance unbiased estimators. Rao-Cramer inequality. Confidence intervals for the parameters of univariate normal, Two independent normal, and one parameter exponential distributions.
Sampling distributions: Chi-square, t and F distributions, and their properties.
How to Prepare for JAM 2020 Mathematical Statistics – Best Books
Good books always plays a key role in the success of any student. In order to prepare well for JAM Mathematical Statistics 2020 exam, candidates must study from the books which are recommended best for the preparation of Joint Admission Test. The books mentioned here are considered best for JAM 2020 preparation of Mathematical Statistics based on different topics of the subject.
Books and Authors
Mathematical Analysis - Apostol
Mathematical Analysis -S.C.Malik
Principle of Mathematical Analysis - Rudi
Sequences and Series
Ordinary Differential Equation: Peter J. Collins, G.F. Simmons, M.D. Raisinghania
Vector Calculus: Murray R. Spiegel (Schaum's), A.R.Vasishtha
Integral Calculus: F. Ayres (Schaum's), Gorakh Prasad
An introduction to probability and statistics: V.K. Rohatgi
Introduction to Mathematical statistics: Hogg & Craig
Introduction to the theory of statistics: Mod & Graybill
Fundamentals of Mathematical statistics: S.C. Gupta & V.K. Kapoor
Testing of Hypotheses
How to Prepare for JAM 2020 Mathematical Statistics - Sample Papers
Solving previous years JAM 2020 sample papers for Mathematical Statistics will give candidates an overview of the type of questions which will be asked in the entrance examination. Candidates will also get an idea about the weight age of each and every topic in the syllabus of JAM 2020. The sample papers accompanied with the answer keys for each will also help candidates to learn how to manage time during JAM 2020.
Sample Papers for Mathematical statistics
Link to download
How to Prepare for JAM Mathematical Statistics 2020 - Mock Tests
IIT Kanpur will release the JAM mock test 2020 for Mathematical Statistics after closing the application window. JAM 2020 mock test will help candidates to prepare themselves for the entrance examination. There is no restriction in the number of attempts that a candidate can make. Candidates can take as many JAM mock tests as possible.
How to Prepare for JAM 2020 Mathematical Statistics - Time-Table
Candidates must start his or her preparation for JAM 2020 Mathematical Statistics exam with the time table. Candidate must prepare a time table which can cover all the topics of JAM 2020 syllabus. The timetable should be followed religiously during the preparation of JAM Mathematical Statistics 2020. Candidate should not make an unrealistic timetable just to finish the syllabus as early as possible.
How to Prepare for JAM 2020 Mathematical Statistics - Time Management
Time management plays an important role during the preparation of JAM Mathematical Statistics 2020 exam. In order to manage time properly during the examination, candidate must practice as many JAM mock tests as possible. Also, another way of time management is allocating a significant amount of time to solve a particular section. This will be helpful in such a way that candidates will be left with extra time in hand where they will be able to go back to the sections where there are questions left out and complete the exam on time.
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The basic eligibility for masters in statistics through IIT JAM is that candidate must have studied mathematics or statistics for at least two years ( four semesters ) . And you have studied maths for 3 semesters only. So you are not eligible for it.
The qualifying mark of IIT JAM Physics according to previous years analysis is 15.
Hope this information helps you.
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IITJAM Chemistry paper consists question from three basic sections of chemistry that is, Physical Chemistry, Organic Chemistry and Inorganic Chemistry. Although few other subjects like analytical chemistry also contain some weightage but it can be grouped into the above three subjects also. Now, the books for IITJAM Chemistry which you should refer are given below although I would advise to study some of them only if you have your basics clear as they are quite descriptive and you have to be clever enough to understand the important topics and the not-so important ones. The books which you should refer are:-
JD Lee, Meissler-Tarr, James E.Huheey. These are the authors of the books and the names of the books are different but are commonly known by these names only. Also you must refer to Vogel's Qualitative Inorganic Analysis book as in my opinion it is the best for inorganic analysis.
You can refer the books by these authors IL Finar , PS Kalsi and also Mehta and Mehta is good in clearing the basics and reaction mechanisms.
You can refer these books (these are the commonly known authors of the books) Peter Atkins, Samuel Glasstone, Thomas Engel-Phillip Reid, Keith Laidler etc. These are the books for different topics such as Chemical Thermodynamics, Chemical Kinetics etc.
These were some of the books which you can refer to but these are not necessary as you can have your own reference books based on difficulty level of some of these books.
Hope this helps.
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