A ICAR Agriculture Statistics mock test from Toppersexam.com is a practice paper based on the latest exam pattern and syllabus, designed to help you assess your preparation level.
New Vacancy 2026
ICAR Agriculture Statistics 2026 Notification, Online Form & Exam Date
ICAR Agriculture Statistics Vacancy 2026 provides a golden opportunity for aspirants seeking stable government jobs. Interested candidates can apply online for the posts after verifying the official eligibility criteria, age limit, and educational qualifications. Ensure you track the application deadlines and stay updated with the latest ICAR Agriculture Statistics 2026 recruitment news for a smooth registration process.
To crack the ICAR Agriculture Statistics 2026 exam, understanding the detailed syllabus and exam pattern is mandatory. Aspirants should focus on strategic planning and rigorous time management for each selection phase. Boosting your speed through online mock tests and regular practice is the key to securing a high score in this competitive recruitment. For premium study material and practice sets, follow the expert curated resources on toppersexam.com.
To crack the ICAR Agriculture Statistics 2026 exam, understanding the detailed syllabus and exam pattern is mandatory. Aspirants should focus on strategic planning and rigorous time management for each selection phase. Boosting your speed through online mock tests and regular practice is the key to securing a high score in this competitive recruitment. For premium study material and practice sets, follow the expert curated resources on toppersexam.com.
ICAR Agriculture Statistics Free Mock Test
Crack the ICAR Agriculture Statistics Mock Test 2026 with the help of an online Test series or a free mock test. Every sample paper in the ICAR Agriculture Statistics Exam has a designated weight, so do not miss out on any paper. Prepare for the ICAR Agriculture Statistics mock test and check your test scores.
ICAR Agriculture Statistics Syllabus 2026, Exam Pattern
ICAR Agriculture Statistics Syllabus 2026, ICAR JRF Exam Pattern, Exam Date 2026
Detail Information about ICAR AIEEA has published notification 2026 for the notification of JRF Agriculture Statistics entrance exam. Those Candidates who are Interested to the following entrance exam and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Notification with Latest Update Exam Pattern and the Exam Date also.
ICAR AIEEA PG Notification 2026 - Overview
ICAR AIEEA PG Notification 2026 - Overview
| Name of the exam | ICAR AIEEA |
| Full-Form | Indian Council of Agricultural Research All India Entrance Examination for Admission |
| Exam conducting body | National Testing Agency |
| Counseling conducting authority | ICAR (Indian Council of Agricultural Research) |
| Program Offered | Postgraduate (PG) |
| Application mode | Online |
| Exam Type | National level |
| Marking Scheme | +4 for each correct answer -1 for each incorrect answer 0 for no attempt |
| Category | Syllabus and Exam Pattern |
| Medium of Exam | English only |
| Exam Centre Cities | 90 cities in India |
| Official Website | www.icar.nta.nic.in |
NTA ICAR JRF Agriculture Statistics Syllabus 2026
Unit 1: Statistical Methods I
Descriptive statistics. Elements of probability theory, conditional probability, Bayes’ theorem. Random variablediscrete and continuous. Mathematical expectation. Moment generating and characteristic functions. Laws of large numbers. Central limit theorem. Discrete probability distributions-binomial, Poisson, negative binomial and hypergeometric. Continuous probability distributions-normal, rectangular, Cauchy exponential, gamma and beta. Sampling distributions-chi-square, t, and F. Bivariate normal distribution-conditional and marginal. Point estimation-unbiasedness, consistency, efficiency, sufficiency. Completeness Minimum variance unbiased estimator. Cramer-Rao Inequality. Rao-Blackwell theorem and Lehman-Scheffe theorem. Methods of point estimation like Maximum likelihood, Moments, Minimum chi-square. Confidence interval estimation. Testing of hypotheses -two types of errors, level of significance and power of a test. Neyman-Pearson Lemma. Uniformly most powerful tests and their construction. Unbiased test, Likelihood ratio test. Tests of significance based on Z, t, chi-square and F distributions.
Unit 2: Statistical Methods II
Correlation, rank correlation, correlation ratio, intra-class correlation. Simple and multiple regression analysis, partial and multiple correlation. Examination of residuals. Model-adequacy, Selecting best regression. Order statistics. Non-parametric tests-run, sign, rank, Wilcoxon, Kruskal-Wallis, Mann-Whitney, Cochran and Friedman’s tests. Contingency tables. Log linear models. Sequential analysis sequential probability ratio test. Elements of stochastic processes. Multivariate normal distribution-estimation of mean vector and dispersion matrix. Wishart distribution, Hotelling T2, multivariate analysis of variance, principal component analysis, factor analysis, discriminant analysis, cluster analysis.
Unit 3: Statistical Genetics I
Statistical analysis of segregation, detection and estimation of linkage. Gene and genotypic frequencies. Random mating and equilibrium in large populations. Disequilibrium due to linkages for two pairs of genes and for sex linked genes. Selection, mutation and migration. Equilibrium between forces in large population. Polymorphism. Fisher’s fundamental theorem of natural selection. Polygenic systems for quantitative characters, Concepts of breeding value, dominance, average effect of gene and epistatic interactions
Unit 4: Statistical Genetics II
enetic variance and its partitioning. Correlation between relatives. Regular system of inbreeding, effects of inbreeding. Genotype and environment interaction, stability parameters. Estimation of heritability, repeatability and genetic correlation. Path coefficient analysis. Heterosis, concepts of general and specific combining abilities. Diallel crosses and line × tester analysis. Response due to selection. Prediction of response to individual, family and combined selections. Construction of selection index.
Unit 5: Design of Experiments I
Linear models-Random, fixed and mixed effects. Nested and crossed classifications. Gauss-Markoff theorem. Analysis of variance. Principles of design of experiments. Uniformity trials. Completely randomized design. Randomized complete block design. Latin square design. Factorial experiments-2n and 3n series and asymmetrical factorial experiments, confounding in 2n and 3n experiments, split and strip-plot designs, change over designs. Missing plot techniques. Analysis of covariance. Variance stabilizing transformations.
Unit 6: Design of Experiments II
Balanced incomplete block designs and their analysis with and without recovery of inter block information. Partially balanced incomplete block designs with two associate classes, lattice designs. Youden square design. Multiple comparison procedures. Fractional replication of symmetrical factorials, confounding in asymmetrical factorial experiments. Response surface designs, second order rotatable designs. Combined analysis of groups of experiments. Sampling in field experiments. Experiments on cultivators’ fields.
Unit 7: Sample Surveys I
Sampling versus complete enumeration. Concept of probability sampling. Simple random sampling. Stratified sampling, allocation in stratified sampling, choice of strata, construction of strata boundaries and collapsing of strata. Use of auxiliary information in sample surveys, ratio and regression methods of estimation. Systematic sampling. Cluster and multi-stage sampling with equal probability.
Unit 8: Sample Surveys II
Sampling with unequal probabilities with and without replacement, sampling schemes with inclusion probabilities proportional to size. Unbiased ratio type of estimators, Double sampling, sampling on successive occasions, inverse sampling. Non-sampling errors-sources and classification. Non-response in surveys interpenetrating sub-samples, randomized response techniques, imputation methods. Design and organization of pilot and large scale surveys. National sample surveys. Agricultural statistics system in the country-land use statistics, crop estimation surveys, livestock and fishery statistics.
Unit 9: Computer Applications
Computer Organization and Architecture- number system, input/output unit, memory, arithmetic logic unit and control unit. Computer algorithms. Programming in C-Building blocks, control structures, arrays, pointers, dynamic memory allocation, file management. Data Structures linked list, stack, queue, tree, graph, sorting and searching algorithms. Data Base Management System-definition and features, data models, relational database. Object oriented programming-encapsulation, inheritance, polymorphism with C++/JAVA. Networking-need, basic concepts, types of networks. Connecting computers-local area networks, wide area networks. Value added network services-E-mail, on-line services, Internet, etc. Hyper Text Markup Language (HTML), Building static and dynamic web pages. Numerical analysis interpolation, numerical integration, solution of ordinary differential equations, solution of linear and non-linear system of equations. Modeling and simulation-random number generation and testing, discrete simulation models, simulation of stochastic events and processes, design of simulation xperiments, analysis of data generated by simulation experiments, validation of simulation models. Linear Programming formulation and graphical solution, simplex method, duality, transportation and assignment problems.
Unit 2: Statistical Methods II
Correlation, rank correlation, correlation ratio, intra-class correlation. Simple and multiple regression analysis, partial and multiple correlation. Examination of residuals. Model-adequacy, Selecting best regression. Order statistics. Non-parametric tests-run, sign, rank, Wilcoxon, Kruskal-Wallis, Mann-Whitney, Cochran and Friedman’s tests. Contingency tables. Log linear models. Sequential analysis sequential probability ratio test. Elements of stochastic processes. Multivariate normal distribution-estimation of mean vector and dispersion matrix. Wishart distribution, Hotelling T2, multivariate analysis of variance, principal component analysis, factor analysis, discriminant analysis, cluster analysis.
Unit 3: Statistical Genetics I
Statistical analysis of segregation, detection and estimation of linkage. Gene and genotypic frequencies. Random mating and equilibrium in large populations. Disequilibrium due to linkages for two pairs of genes and for sex linked genes. Selection, mutation and migration. Equilibrium between forces in large population. Polymorphism. Fisher’s fundamental theorem of natural selection. Polygenic systems for quantitative characters, Concepts of breeding value, dominance, average effect of gene and epistatic interactions
Unit 4: Statistical Genetics II
enetic variance and its partitioning. Correlation between relatives. Regular system of inbreeding, effects of inbreeding. Genotype and environment interaction, stability parameters. Estimation of heritability, repeatability and genetic correlation. Path coefficient analysis. Heterosis, concepts of general and specific combining abilities. Diallel crosses and line × tester analysis. Response due to selection. Prediction of response to individual, family and combined selections. Construction of selection index.
Unit 5: Design of Experiments I
Linear models-Random, fixed and mixed effects. Nested and crossed classifications. Gauss-Markoff theorem. Analysis of variance. Principles of design of experiments. Uniformity trials. Completely randomized design. Randomized complete block design. Latin square design. Factorial experiments-2n and 3n series and asymmetrical factorial experiments, confounding in 2n and 3n experiments, split and strip-plot designs, change over designs. Missing plot techniques. Analysis of covariance. Variance stabilizing transformations.
Unit 6: Design of Experiments II
Balanced incomplete block designs and their analysis with and without recovery of inter block information. Partially balanced incomplete block designs with two associate classes, lattice designs. Youden square design. Multiple comparison procedures. Fractional replication of symmetrical factorials, confounding in asymmetrical factorial experiments. Response surface designs, second order rotatable designs. Combined analysis of groups of experiments. Sampling in field experiments. Experiments on cultivators’ fields.
Unit 7: Sample Surveys I
Sampling versus complete enumeration. Concept of probability sampling. Simple random sampling. Stratified sampling, allocation in stratified sampling, choice of strata, construction of strata boundaries and collapsing of strata. Use of auxiliary information in sample surveys, ratio and regression methods of estimation. Systematic sampling. Cluster and multi-stage sampling with equal probability.
Unit 8: Sample Surveys II
Sampling with unequal probabilities with and without replacement, sampling schemes with inclusion probabilities proportional to size. Unbiased ratio type of estimators, Double sampling, sampling on successive occasions, inverse sampling. Non-sampling errors-sources and classification. Non-response in surveys interpenetrating sub-samples, randomized response techniques, imputation methods. Design and organization of pilot and large scale surveys. National sample surveys. Agricultural statistics system in the country-land use statistics, crop estimation surveys, livestock and fishery statistics.
Unit 9: Computer Applications
Computer Organization and Architecture- number system, input/output unit, memory, arithmetic logic unit and control unit. Computer algorithms. Programming in C-Building blocks, control structures, arrays, pointers, dynamic memory allocation, file management. Data Structures linked list, stack, queue, tree, graph, sorting and searching algorithms. Data Base Management System-definition and features, data models, relational database. Object oriented programming-encapsulation, inheritance, polymorphism with C++/JAVA. Networking-need, basic concepts, types of networks. Connecting computers-local area networks, wide area networks. Value added network services-E-mail, on-line services, Internet, etc. Hyper Text Markup Language (HTML), Building static and dynamic web pages. Numerical analysis interpolation, numerical integration, solution of ordinary differential equations, solution of linear and non-linear system of equations. Modeling and simulation-random number generation and testing, discrete simulation models, simulation of stochastic events and processes, design of simulation xperiments, analysis of data generated by simulation experiments, validation of simulation models. Linear Programming formulation and graphical solution, simplex method, duality, transportation and assignment problems.
ICAR AIEEA JRF Agriculture Statistics Exam Pattern 2026
Duration : 120 Minutes
Negative Mark : -1
| S.No. | Subject | No. of Question | Marks |
| 1. | Agriculture Statistics | 120 | 480 |
| Total | 120 | 480 |
ICAR JRF Exam Date 2026 : 04th July 2026
Starting Date of Application Form : 08th May 2026
Last Date of Application Form : 07th June 2026
ICAR Agriculture Statistics 2026 Free Online Test Series
Crack ICAR Agriculture Statistics 2026 with the help of NTA ICAR Agriculture Statistics Mock Test Free and Agriculture Statistics Question Paper 2026. Every Sample Paper in NTA ICAR AIEEA JRF Exam has a designated weightage so do not miss out any Paper. Preprare and Practice Mock for NTA ICAR 2026 and check your test scores.
ICAR Agriculture Statistics Exam Free Online Question Bank
ICAR Agriculture Statistics question answer with solutions are available in Hindi & English. Join MCQ, Important Questions, Question Bank, questions and answers for Free ICAR Agriculture Statistics exam preparation.
Combo Offers
ICAR Agriculture Statistics Combo Packages
We Launches Combo Offers ! with Heavy Discount and Cost Saving Prices. Combo Packages includes - Online Mock Test Series + Important Questions or MCQs + Previous Year Papers with Answer.
Combo Package
ICAR Agriculture Statistics
Combo - 1 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1150 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1150 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹201₹231
Combo Package
ICAR Agriculture Statistics
Combo - 2 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1150 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1150 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
₹621₹681
Combo Package
ICAR Agriculture Statistics
Combo - 3 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1150 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of ICAR Agriculture Statistics (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1150 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of ICAR Agriculture Statistics (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
₹721₹851
FAQs
Icar Agriculture Statistics 2026 Free Mock Test Frequently Asked Questions (FAQ's)
You can find and practice free mock tests for the ICAR Agriculture Statistics exam on the Toppersexam.com portal.
Mock tests are very powerful tool for exam preparation. They help students develop confidence, manage time effectively and improves accuracy to prepare better for ICAR Agriculture Statistics.
You can find a free online mock test for the ICAR Agriculture Statistics on toppersexam.com. By taking frequent online mock tests students can monitor there progress and create a study plan according to the needs.
You can take mock test online for ICAR Agriculture Statistics to know the CBT (computer based test) format of the main exam. You will get latest exam pattern, updated syllabus and type of questions asked in the actual exam.
Mock tests are practice exams to prepare the students for the final one. Taking mock test regularly helps students to improve time management skills and boost confidence.
Students can find a free mock test for ICAR Agriculture Statistics only at toppersexam. Get free online mock test to experience the actual exam format is important to reduce anxiety and improves your confidence.
Advantages of online mock tests are immediate results, accessibility and time management. Sample papers and mock tests are remarkable tools to track students performance and change your study plan according to your weakness.
Free online mock test can improve your score by making you exam ready before the final exam. It is a excellent way to know the exam pattern and identify your weakness for the ICAR Agriculture Statistics.
Toppersexam free online mock test are designed by subject experts to provide the best preparation for ICAR Agriculture Statistics. The questions asked are exactly like the ones which are asked in the actual exam.
Students should practice more and more online mock test for ICAR Agriculture Statistics to evaluate their performance, detect weaknesses, and improve time management without any cost.
Current affairs and general knowledge mock test are important ways to increase knowledge to stay updated about the recent news and events. Regular practicing with current affairs mock test helps students to prepare better for general awareness section for the final exam.
User Reviews