GATE ST previous year question papers
Statistics · 2019–2026
Free year-wise GATE ST question papers with official answer keys. Solve them under a 3-hour timer to simulate the real exam, then review every wrong answer against the GATE ST syllabus.
Free PDF downloads
We link to established, free sources rather than re-hosting copies. Papers open in a new tab; always cross-check against the official GATE organising institute's site for the current cycle.
How to use these papers
- Finish a subject first, then solve that subject's questions across all years.
- Once the syllabus is covered, switch to full papers under a strict 3-hour timer.
- Log every mistake by cause: concept gap, silly error, or time pressure.
- Re-solve the papers you scored worst on after two weeks.
Frequently asked questions
How long has GATE ST existed, and does that matter for preparation?
GATE Statistics was introduced in 2019, so previous year question papers only go back to that year rather than the two-decade archive available for older papers. In practice this means topic-wise PYQ practice runs out faster, and candidates need to lean more on textbook problem sets and reputable mock series to make up the volume that PYQs alone can't provide.
Is GATE ST closer to a mathematics paper or an engineering paper?
It reads closer to a mathematical statistics course than an engineering one: there is no circuits-and-systems or thermodynamics-style applied content. Calculus and linear algebra appear mainly as tools to derive distributional results and estimator properties, so a candidate is expected to manipulate proofs and inequalities (Cramér–Rao, Neyman–Pearson) as comfortably as they compute a numerical answer.
Do Estimation and Testing of Hypotheses need to be studied together?
Yes: treating them as separate topics is a common mistake. Point estimation (MLE, method of moments, sufficiency, UMVUE) directly feeds into the test statistics used later in hypothesis testing, and GATE ST questions frequently chain the two, asking for an estimator in one part of a question and then a test built on that same estimator in the next.
How much weight do Multivariate Analysis and Stochastic Processes actually carry?
Both are smaller than Probability or Estimation/Testing individually, but together they are large enough that skipping either leaves real marks on the table: multivariate normal theory and PCA-type questions from the former, and Markov chain/time-series questions from the latter, show up most years rather than occasionally.