GATE ST study guide
GATE ST · Work through your exam, one topic at a time.
GATE 2025, the Graduate Aptitude Test in Engineering, is a national-level examination that primarily tests comprehensive understanding of undergraduate-level subjects in Engineering, Technology, Architecture, Science, Commerce, Arts and Humanities. The Statistics (ST) test paper is one of the 30 test papers offered, and candidates may appear for one or two test papers from the allowed two-paper combinations. GATE 2025 is organised by the Indian Institute of Technology Roorkee (IITR) and conducted by IISc Bengaluru and seven IITs on behalf of the National Coordination Board (NCB), Department of Higher Education, Ministry of Education, Government of India. The exam is a computer-based test (CBT), held on February 1st, 2nd, 15th and 16th, 2025. The GATE ST study guide has 6 sections and about 1,570 words.
01Probability and Distributions
GATE ST treats probability as the foundation for inference, so questions mix axiomatic probability with distributional calculation. Expect direct computation, transformations, conditional reasoning, and limiting theorems rather than descriptive definitions.
267 words, about 1 min02Statistical Inference
GATE ST tests estimation and testing as decision problems: which estimator is admissible, which test is most powerful, and what a confidence interval actually covers. Numerical questions often reduce to sufficiency, likelihood, or a rejection region.
302 words, about 2 min03Linear Models and Regression
GATE ST examines linear models through matrix formulation, least squares, inference, and diagnostics. You should be able to derive OLS estimates, interpret coefficients, construct ANOVA tables, and recognize when assumptions fail.
257 words, about 1 min04Multivariate Analysis
GATE ST tests multivariate distributions, dimension reduction, and classification. Questions often require covariance matrices, Mahalanobis distance, principal components, or Hotelling's T² rather than univariate shortcuts.
246 words, about 1 min05Sampling Techniques and Design of Experiments
GATE ST tests how data are selected and how experiments are structured. Sampling questions emphasize unbiased estimation and standard errors; design questions emphasize randomization, blocking, and valid ANOVA comparisons.
247 words, about 1 min06Stochastic Processes and Time Series
GATE ST tests Markov chains, Poisson processes, and stationary time-series models. You should move between transition probabilities, stationary distributions, autocovariances, and model identification.
251 words, about 1 min