GATE Statistics (ST)
Paper pattern
Mathematics, as this paper sets it
- Limits, Continuity and Differentiability
- Differentiation and Applications of Derivatives
- Integration and Definite Integrals
- Multivariable Calculus — Partial Derivatives, Maxima and Multiple Integrals
- Real Analysis for Statistics: Countable Sets, Sequences, Series, Power Series, Continuity, Mean Value Theorems and Riemann Integration
- Functions of Several Variables: Limits, Directional Derivatives, Taylor’s Theorem, Extrema, Lagrange Multipliers and Multiple Integrals
- Linear Algebra — Rank, Consistency, Eigenvalues and Eigenvectors
- Vector Spaces, Rank–Nullity, Decompositions and Quadratic Forms
- Matrix Theory: Subspaces, Rank, Inner Products and Gram–Schmidt, Special Matrices, Similarity, Definiteness and the Singular Value Decomposition
Statistics — discipline chapters
- Probability: Axioms, Conditioning and Bayes, Random Variables, Moments and Generating Functions, Transformations and Inequalities
- Standard Univariate Distributions: Bernoulli to Poisson, Uniform to Cauchy, and How They Are Related
- Joint Distributions I: Joint, Marginal and Conditional Distributions, Conditional Expectation, Correlation, the Multinomial and the Bivariate Normal
- Joint Distributions II: Functions of Random Vectors, Order Statistics, and the Chi-square, t and F Sampling Distributions
- Convergence of Random Variables: The Four Modes and Their Relations, Slutsky, Borel–Cantelli, the Laws of Large Numbers and the Central Limit Theorem
- Stochastic Processes: Markov Chains, Classification of States, Stationary Distributions, the Poisson Process, Birth-and-Death Processes and Brownian Motion
- Estimation I: Sufficiency, Minimal Sufficiency, Completeness, Ancillarity and Basu, Unbiased Estimation, UMVUE and the Cramér–Rao Inequality
- Estimation II: Consistency, the Method of Moments, Maximum Likelihood and Its Properties, and Confidence Intervals from Pivots
- Testing of Hypotheses I: Size, Power and p-values, the Neyman–Pearson Lemma, Monotone Likelihood Ratio and Uniformly Most Powerful Tests
- Testing of Hypotheses II: Unbiased and UMPU Tests, Exponential Families, Likelihood Ratio Tests and Large-Sample Tests
- Non-parametric Statistics: The Empirical Distribution Function, Goodness of Fit, Runs, Sign and Signed-Rank Tests, Mann–Whitney, Kruskal–Wallis and Rank Correlation
- Multivariate Analysis: The Multivariate Normal, Its Marginals and Conditionals, MLE of the Mean Vector and Dispersion Matrix, Wishart, Hotelling’s T² and Multiple and Partial Correlation
- Regression Analysis: Simple and Multiple Linear Regression, R² and Adjusted R², Quadratic Forms and Fisher–Cochran, Gauss–Markov, Tests and Confidence Intervals
Frequently asked questions
Is this GATE Statistics material free?
Yes. Every chapter is free to read in English and Hindi. A free account adds scored practice, the full-length ST mock test in the real 65-question pattern, and the AI mentor.
How much of the GATE ST syllabus is covered?
The whole paper: 9 mathematics chapters as this paper's syllabus words them, and 13 chapters across all 10 discipline sections. General Aptitude is shared by every paper.
What is the GATE exam pattern?
65 questions for 100 marks in 180 minutes: General Aptitude for 15 marks and the paper for 85. A wrong MCQ costs a third of its marks; MSQ and NAT questions carry no negative marking.
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