ICAR JRF Agricultural Statistical Science Syllabus Download PDF | AgriInsights
The most important preparation for any exam is to know the syllabus of the exam. All questions asked in the ICAR JRF entrance exam will come from the syllabus. Students need to understand the subjects and topics mentioned, study hard and you can come out with a smiling face.
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ICAR JRF Syllabus for Statistical Science |
Syllabus for ICAR JRF Agricultural Statistical Science
Subject:
7.1: Agricultural Statistics,
7.2: Statistics,
7.3: Computer Application,
7.4: Bioinformatics
7.2: Statistics,
7.3: Computer Application,
7.4: Bioinformatics
UNIT-I: Agriculture: Importance of Agriculture/Forestry/Livestock in the national economy. Basic principles of crop production. Major diseases and pests of crops. Elementary principles of economics and agri-extension. Important rural development programmes in India. Organizational set up of Agricultural research, education, and extension in India.
UNIT-II: Mathematics: Real and complex numbers; polynomial and roots; de Moiré’s theorem and its applications. Elements of set theory- De Morgan’s laws; vector space, linear independence, orthogonality; matrices addition and multiplication, the rank of a matrix, determinants, inverse of a matrix, solution of a system of linear equations, characteristic roots, and vectors; convergence of infinite sequences and infinite series tests for convergence, absolute convergence; coordinate geometry in two dimensions – line, circle, parabola, ellipse, and hyperbola. Differential calculus: limits, differentiation of function of a single variable; Taylor’s and Maclaurin’s theorems, mean-value theorem; maxima and minima; indeterminate form; curvature, asymptotes, tracing of curves, the function of two or more independent variables, partial differentiation, homogeneous functions and Euler’s theorem, composite functions, total derivatives, a derivative of an implicit function, change of variables, Jacobians. Integral calculus: integration by simple methods, standard forms, simple definite integrals, double integrals, change of order of integration, Gamma and Beta functions, application of double integrals to find the area. Ordinary differential equations: differential equations of the first order, Exact and Bernoulli’s differential equations, equations reducible to exact form by integrating factors, equations of the first order and higher degree, Clairaut’s equation, methods of finding complementary functions, and particular integrals. Calculus of finite differences, interpolation; numerical differentiation and integration, difference equations; solution of simple non-linear equations by numerical methods like Newton- Raphson method.
UNIT-III: Introduction: Statistics – definition, use, and limitations; Frequency Distribution and Curves; Measures of Central Tendency: Arithmetic mean; Geometric mean, Harmonic mean, Median, Mode; Measures of Dispersion: Range, Mean deviation, Quartile deviation, Variance and Coefficient of Variation; Probability definition and concepts, the law of addition and multiplication, conditional probability, Bayes’ theorem; Binomial, multinomial, Poisson and normal distribution; Introduction to Sampling: Random Sampling; Standard Error; Tests of Significance – Types of Errors, Null Hypothesis, Level of Significance, Testing of hypothesis; Large Sample Test- SND test for Means, Single Sample, and Two Samples; Student’s t-test for Single Sample, Two Samples, and Paired t-test. F test; Chi-Square Test for the goodness of fit and independence of attributes; Correlation and Regression and associated tests of significance. Experimental Designs: basic principles, Analysis of variance, Completely Randomized Design (CRD), Randomized Block Design (RBD).
UNIT-IV: Computers: input, output devices, memory, hardware, software; Classification, booting the computer. Viruses, worms, and antivirus. Operating System- some DOS commands, FORMAT, DIR, COPY, PATH, MD, CD, and DELTREE. Types of files. WINDOWS: Desktop and its elements, WINDOWS Explorer, working with files and folders; setting time and date. Anatomy of WINDOWS. Applications – MSWORD: Word processing features- Creating, Editing, Formatting, and Saving; MS-EXCEL: Electronic spreadsheets, concept, packages. Creating, editing, and saving a spreadsheet. In-built statistical and other functions. Excel data analysis tools, Correlation and regression, t-test for two-samples, and ANOVA with one-way classification. Creating graphs. MS PowerPoint and its features. MSACCESS: Concept of Database, creating database; Computer programming: Flow charts and Algorithms, Programming languages- BASIC, FORTRAN and C. Internet: World Wide Web (WWW), Concepts, web browsing, and electronic mail. Bioinformatics – NCBI Gene bank sequence database- primary and secondary database.
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