ICAR AIEEA-PG - Group 07 Statistical Sciences (Master's admission and PG scholarship)

India · National Testing Agency for ICAR · pg

535practice questions written to this syllabus
25subjects

Format

Computer-based test, 120 minutes, single paper of 120 MCQs, +4 / -1, English. 2026 exam on 4 July 2026. Fills ICAR's all-India quota of Master's seats at agricultural universities.

Sections

Over the years

Eligibility for 7.1 Agricultural Statistics is a BSc in agriculture, horticulture, forestry, sericulture, agricultural marketing, fisheries, veterinary science or agricultural engineering, or a 10+2+3 BSc (alternate eligibility). The 2026 seat table lists Agricultural Statistics seats at about 25 universities, several marked 'NR' (not reported). Group 07 syllabus read in the ICAR AIEEA-PG/AICE syllabus PDF (https://icar.org.in/sites/default/files/Circulars/Syllabus%20AIEEA%20(PG).pdf). Question counts per unit are not published.

Official source: https://cdnbbsr.s3waas.gov.in/s388a839f2f6f1427879fc33ee4acf4f66/uploads/2026/05/202605091397132773.pdf

Subjects this exam draws on

Real Analysis for Statistics10 questionsLinear Algebra & Matrix Theory for Statistics10 questionsDifferential Equations, Finite Differences & Numerical Analysis59 questionsStatistical Methods for Agricultural Sciences103 questionsAgriculture for Statisticians68 questionsProgramming for Statistics & Data (R and Python)10 questionsComputer Science Fundamentals: Architecture, Data Structures, Networks & Operating Systems20 questionsProbability Theory34 questionsProbability Distributions & Sampling Distributions28 questionsStochastic Processes3 questionsStatistical Inference I: Estimation17 questionsStatistical Inference II: Testing of Hypotheses & Sequential Analysis34 questionsNonparametric & Rank-Based Methods21 questionsMultivariate Analysis2 questionsCategorical Data Analysis & Generalized Linear Models2 questionsBayesian Inference3 questionsPrinciples of Experimental Design & Basic Designs38 questionsFactorial Experiments, Confounding, Split- & Strip-Plot Designs4 questionsSampling Theory I: Simple, Stratified, Systematic, Ratio & Regression Estimation9 questionsBiometrical Techniques in Plant & Animal Breeding2 questionsBioinformatics & Computational Biology19 questionsOptimization Techniques for Statisticians4 questionsStatistical Quality Control & Reliability28 questionsData Analysis with Statistical Software & Reproducible Research5 questionsDatabases, Big Data & Agricultural Information Systems2 questions

Five practice questions, worked

Original questions written to this exam's published syllabus and pattern. Not past papers.

1. What are the supremum and infimum of S = {1 − 1/n : n = 1, 2, 3, …}?

  1. sup 1 (attained), inf 0 (not attained)
  2. sup 1, inf −1
  3. sup 1 (not attained), inf 0 (attained)
  4. sup ∞, inf 0
Answer and working

C. sup 1 (not attained), inf 0 (attained)

Terms are 0, 1/2, 2/3, …, increasing towards 1 without reaching it; the minimum 0 occurs at n = 1.

Real Analysis for Statistics · Sets, countability and the real number system

2. The vectors (1, 2, 3) and (2, 4, 6) are:

  1. Linearly independent
  2. Orthogonal
  3. A basis of R³
  4. Linearly dependent
Answer and working

D. Linearly dependent

The second is twice the first. Their dot product is 28, so they are not orthogonal.

Linear Algebra & Matrix Theory for Statistics · Vector spaces, subspaces, linear independence, basis and dimension

3. A population grows as dN/dt = 0.07N. Its doubling time is about:

  1. 14.3 time units
  2. 9.9 time units
  3. 0.07 time units
  4. 70 time units
Answer and working

B. 9.9 time units

Doubling time = ln 2/r = 0.693/0.07 ≈ 9.9. 14.3 is 1/r, the mean time constant; 70 forgets to divide by the rate in per cent.

Differential Equations, Finite Differences & Numerical Analysis · Ordinary differential equations of first order: exact, linear and Bernoulli equations

4. Which statement describes a genuine limitation of statistics as a science?

  1. It cannot be applied to biological data because living organisms vary too much
  2. It can only handle data collected by the investigator personally, never secondary data
  3. It requires every unit of a population to be measured before any conclusion is drawn
  4. It studies aggregates and cannot say anything certain about a single individual unit
Answer and working

D. It studies aggregates and cannot say anything certain about a single individual unit

Statistical laws hold for groups and on average; the mean yield of a variety says nothing certain about one plot. Biological variation is exactly what statistics handles, secondary data are routinely used, and sampling exists precisely to avoid complete enumeration.

Statistical Methods for Agricultural Sciences · Statistics: definition, uses and limitations; frequency distributions and curves

5. As a country's per-capita income rises over decades, what usually happens to agriculture's share of GDP?

  1. It falls, while farm output still rises
  2. It rises, because richer consumers spend a larger share of income on food
  3. It stays constant, because food demand grows in step with population
  4. It falls only because agricultural output itself declines in absolute terms
Answer and working

A. It falls, while farm output still rises

Structural transformation: Engel's law (food's share of spending falls as income rises) and faster farm productivity growth shrink agriculture's share while output grows.

Agriculture for Statisticians · Importance of agriculture, forestry, livestock and fisheries in national economies

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