RBI Grade B Syllabus 2020, Exam Pattern

Government Jobs Syllabus

RBI Grade B Syllabus 2020

RBI Grade B Recruitment 2020 notification is out. The Online Application start from sep 2020 and will remain active till sep 2020. Candidate willing to apply should go through the eligibility & The start preparation soon. This post will enlighten you regarding the RBI Grade B syllabus 2020. The complete syllabus of the computer-based examination and computer (formatting) Test has been provided in this post. Check out the details below.

The date of Computer Based written examination is subject to change, in which event the new date will be notified through Newspapers, Commission’s websites and Admission Certificates for the examination. Detailed instructions regarding Computer Based Written Examination are available on the Commission’s website.

 RBI Grade B Complete Details:

Name of Organization Reserve Bank of India
Name of Post RBI Grade B Phase 1 Prelims Exam 2020-21
No of Vacancy 434 Posts
Selection Procedure

Phase – I Examination

Phase – II Examination

Interview

Date of Exam Available Soon
Application Mode Online
Category Syllabus & Exam Pattern
Official Website https://www.rbi.org.in/

 

RBI Grade B Syllabus 2020:

The table below gives a breakdown of RBI Grade B exam pattern for Phase – I:

RBI Grade B Exam Pattern (Phase – I)
Sections No. of Questions Marks Duration
General Awareness 80 80 A composite time of 120 minutes is provided to the candidate.
Quantitative Aptitude 30 30
English Language 30 30
Reasoning 60 60
Total 200 200

To know more about the RBI Exam Pattern, visit the linked article.

The table below gives a breakdown of RBI Grade B exam pattern for Phase – II:

RBI Grade B Exam Pattern (Phase – II)
Name of the Paper Type of the Paper Duration (in minutes) Marks
Paper I Economic & Social Issues Objective Type 90 100
Paper-II English (Writing Skills) Descriptive Type 90 100
Paper III Finance & Management Objective Type 90 100

Candidates preparing for the RBI grade B exam 2019 – 2020 can also solve RBI Grade B Previous year paper at the linked article. Solving the previous year paper will help candidates know the difficulty level of the actual paper.

RBI Grade B Syllabus (Phase 1)

The RBI Grade B exam comprises four sections:

  • General Awareness
  • Quantitative Aptitude
  • Reasoning Ability
  • English Language

English Language:

  • Jumble Words
  • Vocabulary
  • Passage Making
  • Grammar
  • Error Spotting
  • Fill in the Blanks
  • Sentence Framing
  • Comprehension

Quantitative Aptitude:

  • Average
  • Time and Work
  • Percentage
  • Permutation and Combination
  • Algebra
  • Speed, Distance and Time
  • Mixture and Allegations
  • Stocks and Shares
  • Ratio and Proportion
  • Mensuration
  • Probability
  • Set Theory
  • Trigonometry
  • Data Interpretation

Reasoning:

  • Coding Decoding
  • Syllogism
  • Circular Arrangement
  • Linear Arrangement
  • Floor Puzzle
  • Scheduling
  • Machine Input Output
  • Data Sufficiency
  • Inequality
  • Ordering and Ranking
  • Arrangement and Pattern
  • Blood Relations
  • Verbal Reasoning
  • Direction and Distance

General Awareness:

  • Monetary Plans
  • National Institutions
  • Current Affairs
  • Indian Financial Systems
  • Indian Banking Systems
  • Banking Terms
  • Economic News:
  • Economics Terms
  • Important Guidelines
  • Financial & Economics News
  • Static Awareness:
  • Political Science
  • Environmental Facts
  • Parks, Dam, Thermal Power Plants, Mountains, Temples, Stadiums, Airports etc
  • Daily News, National and International News
  • Geography
  • Science
  • History
  • Books by Famous Personalities
  • Sports

Current Affairs:

  • Books by Famous Personalities
  • Sports
  • People & Places in News
  • Science & Technology
  • Defense
  • Awards, Summits & Conferences
  • Government Schemes, Agreement & Deal
  • Daily News, National and International News

Paper Scheme for RBI Grade B Phase 2 Exam 2020

Paper Name with Subject Topic Type of Paper Minutes (Duration) Marks by Paper Wise
Paper 1: Economic and Social Issues Objective Type 90 Minutes 100 Marks
Paper 2: English (Writing Skills) Descriptive, to be typed with the help of the keyboard 90 Minutes 100 Marks
Paper 3: Finance and Management Objective Type 90 Minutes 100 Marks

 

RBI Grade B Phase 2 Exam Syllabus 2020 for Statistics:

Linear Models: General Linear models, BLUE, method of least squares, Gauss-Markoff theorem, estimation of error variance, Simple and Multiple linear regression models, Important assumptions and treatments in case of assumption’s violation, Regression diagnostics, Analysis of variance in one, two and three-way classifications, Analysis of Covariance in one and two-way classifications.

Statistical Inference: Properties of estimators, MVUE, Rao-Blackwell and Lehmann-Scheffe theorems, Cramer-Rao inequality, methods of estimation, properties of maximum likelihood and other estimators, confidence intervals. Simple and composite hypotheses, Type I and Type II errors, size, and power of a test, Most Powerful and Uniformly Most Powerful tests, Neyman-Pearson lemma, Likelihood Ratio test and its properties and applications. SPRT, OC and ASN functions, Tests of goodness of fit. Parametric vs. Non-parametric Test, Frequently used nonparametric inferential statistical methods.

RBI Grade B Officer Exam Syllabus 2020 Pdf

Probability: Random variables, Theorems of probability, Conditional probability, Independent events, Bayes’ theorem and its application, expectation, moments, distribution functions, Binomial, Poisson, Geometric, Exponential, Negative Binomial, Hypergeometric, Cauchy, Laplace, Logistic, Pareto, Log-normal, Beta and Gamma distributions, Weibull, Uniform, Bivariate normal distribution and truncated distributions, Markov’s inequality, Chebyshev’s inequality, Cauchy-Schwarz inequality, Laws of large numbers, Central limit theorems and applications.

Vital Statistics: Sources of vital statistics compilation, Errors in the census and registration data, Measurement of the population, rate and ratio of vital events, Stationary and Stable population, Life Tables, Measures of Fertility, Mortality, and Reproduction, Crude rates of natural growth, Pearl’s Vital Index.

Optimization Techniques and Statistical Quality Control: Linear Programming, Transportation Problem, Assignment Problem, Basics of Simulation, Quality control, Process Control, and Product Control, control Page 8 of 10 charts, Acceptance Sampling plan, single and double sampling plans (ASN, OC, ATI, LTPD, AOQL).

Statistical Methods: Population and sample, Measures of central tendencies Parameter and Statistic, Correlation and Regression, intraclass correlation, multiple and partial correlations, Spearman’s coefficient of rank correlation, Z, chi-square, t and F statistics and their properties and applications, Large sample distributions, Variance stabilizing transformations, sin inverse, square root, logarithmic and z transformation.

Multivariate Analysis: Bivariate and Multivariate normal distribution, marginal and conditional distribution, Estimation of the mean vector and covariance matrix, Asymptotic properties of estimators, the Sampling distribution of X and S, Mahalanobis D2 and Hotelling’s T2 and its applications.

Applied Economic Statistics: Time Series vs. cross-sectional data, Multiplicative and additive models, Auto-correlation, Partial autocorrelation, Smoothing techniques, Seasonal and cyclical adjustment. Price and Quantity Index numbers, Types of index numbers and their properties. Chain and Fixed base index numbers, Cost of Living Index numbers, Wholesale Price Index, Consumer Price Index, Index of Industrial Production, Gini’s coefficient, Lorenz curves, Application of Pareto and Lognormal as income distributions.

Sample Surveys and Design of Experiments: Simple and Stratified random sampling, ratio and regression methods of estimation, Double Sampling, Systematic, Cluster, two stages and PPS sampling. Sampling and Non-sampling errors. Principles of Design of Experiments, Completely Randomized Design, Randomized Block Design, Latin Square Design, missing plot technique, 22 and 23 factorial designs, Split-Plot Design, and Balanced Incomplete Block Design, Fractional factorial experiments

Numerical Analysis: Principles of floating point computations and rounding errors, Linear Equations factorization methods, pivoting and scaling, residual error correction method, Iterative methods, Jacobi, Gauss-Seidel methods, Newton and Newton-like methods, unconstrained optimization, Lagrange interpolation techniques, Cubic Splines, Error estimates, Polynomials and least squares approximation; Integration by interpolation, adaptive quadratures and Gauss methods.

Basic Computer Applications: Functional organization of computers, algorithms, basic programming concepts, Program testing and debugging, Subprograms and Subroutines, Sorting/searching methods, Database Management Systems, Software Engineering, Basic of Networking, Internet Technologies, Web and HTML, Distributed systems, Programming using C, Minitab and Fortran.

Linear Models: General Linear models, BLUE, method of least squares, Gauss-Markoff theorem, estimation of error variance, Simple and Multiple linear regression models, Important assumptions and treatments in case of assumption’s violation, Regression diagnostics, Analysis of variance in one, two and three-way classifications, Analysis of Covariance in one and two-way classifications.

Statistical Inference: Properties of estimators, MVUE, Rao-Blackwell and Lehmann-Scheffe theorems, Cramer-Rao inequality, methods of estimation, properties of maximum likelihood and other estimators, confidence intervals. Simple and composite hypotheses, Type I and Type II errors, size, and power of a test, Most Powerful and Uniformly Most Powerful tests, Neyman-Pearson lemma, Likelihood Ratio test and its properties and applications. SPRT, OC and ASN functions, Tests of goodness of fit. Parametric vs. Non-parametric Test, Frequently-used nonparametric inferential statistical methods.

RBI Grade B Officer Exam Syllabus 2020 Pdf

Probability: Random variables, Theorems of probability, Conditional probability, Independent events, Bayes’ theorem and its application, expectation, moments, distribution functions, Binomial, Poisson, Geometric, Exponential, Negative Binomial, Hypergeometric, Cauchy, Laplace, Logistic, Pareto, Log-normal, Beta and Gamma distributions, Weibull, Uniform, Bivariate normal distribution and truncated distributions, Markov’s inequality, Chebyshev’s inequality, Cauchy-Schwarz inequality, Laws of large numbers, Central limit theorems and applications.

Multivariate Analysis: Bivariate and Multivariate normal distribution, marginal and conditional distribution, Estimation of the mean vector and covariance matrix, Asymptotic properties of estimators, the Sampling distribution of X and S, Mahalanobis D2 and Hotelling’s T2 and its applications.

Statistical Methods: Population and sample, Measures of central tendencies Parameter and Statistic, Correlation and Regression, intraclass correlation, multiple and partial correlations, Spearman’s coefficient of rank correlation, Z, chi-square, t and F statistics and their properties and applications, Large sample distributions, Variance stabilizing transformations, sin inverse, square root, logarithmic and z transformation.

Applied Economic Statistics: Time Series vs. cross-sectional data, Multiplicative and additive models, Auto-correlation, Partial autocorrelation, Smoothing techniques, Seasonal and cyclical adjustment. Price and Quantity Index numbers, Types of index numbers and their properties. Chain and Fixed base index numbers, Cost of Living Index numbers, Wholesale Price Index, Consumer Price Index, Index of Industrial Production, Gini’s coefficient, Lorenz curves, Application of Pareto and Lognormal as income distributions.

Vital Statistics: Sources of vital statistics compilation, Errors in the census and registration data, Measurement of the population, rate and ratio of vital events, Stationary and Stable population, Life Tables, Measures of Fertility, Mortality, and Reproduction, Crude rates of natural growth, Pearl’s Vital Index.

Optimization Techniques and Statistical Quality Control: Linear Programming, Transportation Problem, Assignment Problem, Basics of Simulation, Quality control, Process Control, and Product Control, control Page 8 of 10 charts, Acceptance Sampling plan, single and double sampling plans (ASN, OC, ATI, LTPD, AOQL).

Basic Computer Applications: Functional organization of computers, algorithms, basic programming concepts, Program testing and debugging, Subprograms and Subroutines, Sorting/searching methods, Database Management Systems, Software Engineering, Basic of Networking, Internet Technologies, Web and HTML, Distributed systems, Programming using C, Minitab and Fortran.

Sample Surveys and Design of Experiments: Simple and Stratified random sampling, ratio and regression methods of estimation, Double Sampling, Systematic, Cluster, two stages and PPS sampling. Sampling and Non-sampling errors. Principles of Design of Experiments, Completely Randomized Design, Randomized Block Design, Latin Square Design, missing plot technique, 22 and 23 factorial designs, Split-Plot Design, and Balanced Incomplete Block Design, Fractional factorial experiments

Numerical Analysis: Principles of floating point computations and rounding errors, Linear Equations factorization methods, pivoting and scaling, residual error correction method, Iterative methods, Jacobi, Gauss-Seidel methods, Newton and Newton-like methods, unconstrained optimization, Lagrange interpolation techniques, Cubic Splines, Error estimates, Polynomials and least squares approximation; Integration by interpolation, adaptive quadratures and Gauss methods.

 

How to Download RBI Grade B Syllabus & Exam Pattern 2020:

  • Go to Official Website.
  • Find the Link and Open the page.
  • Enter your registration number or date of birth.
  • Show on your desktop for RBI.

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