WhatsApp Group Join Now
Telegram Group Join Now

RPSC Assistant Statistical Officer Syllabus & Exam Pattern सहायक सांख्यिकी अधिकारी के सिलेबस का पीडीएफ डाउनलोड करें

RPSC Assistant Statistical Officer Syllabus 2024: राजस्थान कर्मचारी चयन आयोग द्वारा 12 जनवरी 2024 को सहायक सांख्यिकी अधिकारी (Assistant Statistical Officer) के 10 पदों पर भर्ती का नोटिफिकेशन जारी किया गया। Statistical Officer Syllabus 2024, 24 जनवरी 2024 को बोर्ड की ऑफिशल वेबसाइट पर अपलोड कर दिया गया।

जो भी उम्मीदवार RPSC Assistant Statistical Officer Syllabus 2024 का Pdf प्राप्त करना चाहता है या Syllabus जानना चाहते हैं वे उम्मीदवार हमारे साथ इस पोस्ट में बने रहे। हमारे द्वारा राजस्थान सहायक सांख्यिकी अधिकारी सिलेबस का Pdf नीचे उपलब्ध करवा दिया गया है।

RPSC Assistant Statistical Officer Syllabus Overview

Organisationराजस्थान कर्मचारी चयन आयोग
Name of Postसहायक सांख्यिकी अधिकारी
SyllabusReleased
Total Posts10
Pay Rs. 4200 (Pay Level-11)
Locationराजस्थान
Mode Of Applyऑनलाइन
Application Start25 जनवरी 2024
Last Date24 फरवरी 2024
CategorySyllabus
Official Websiterpsc.rajasthan.gov.in

RPSC Assistant Statistical Officer Recruitment 2024 Exam Pattern

Rajasthan Assistant Statistical Officer Vacany 2024 के लिए एग्जाम का पैटर्न कुछ इस प्रकार रहेगा-

S.No.SubjectMarksQuestionsTime
Part-AGeneral Knowledge of Rajasthan40402:30 Hours
Part-BConcerned Subject110110
Total Marks150150
  • Negative Marking: 1/3
  • Every Question Contains Five Options.
  • Exam will be OMR & Objective Based.
  • Every Question Contains One Marks.
  • Total Time: 2:30 Hours

RPSC Assistant Statistical Officer Syllabus 2024 Pdf in Hindi

कर्मचारी चयन बोर्ड द्वारा राजस्थान सहायक सांख्यिकी अधिकारी का सिलेबस आधिकारिक रूप से 12 जनवरी 2024 को जारी कर दिया है, इसे डाउनलोड करने की डायरेक्ट लिंक नीचे उपलब्ध करवा दी गई है जहां से आप सहायक सांख्यिकी अधिकारी के Syllabus का Pdf डाउनलोड कर सकते हैं।

RPSC Assistant Statistical Officer Syllabus: Part-A (40 Questions)

Unit-I: History, Culture & Heritage of Rajasthan

Pre & early history of Rajasthan. Age of Rajputs: Major dynasties of Rajasthan and the achievements of prominent rulers. Emergence of Modern Rajasthan: factors of socio-political awakening of 19th century; Peasants and tribal movements of 20th century; Political struggle of 20th century and the integration of Rajasthan. Visual Art of Rajasthan – Architecture of forts and temples of Rajasthan; Sculpture traditions of Rajasthan and various schools of painting of Rajasthan. Performing Arts of Rajasthan – Folk music and musical instruments of Rajasthan; folk dance and folk drama of Rajasthan. Various religious cults, saints and folk deities of Rajasthan. Various dialects and its distribution in Rajasthan; literature of Rajasthani language.

Unit-II: Geography, Natural Resource & Socio-Economic Development of Rajasthan –

Geography of Rajasthan: Broad physical features- Mountains, Plateaus, Plains & Desert; Major rivers and lakes; Climate and Agro-climatic regions; Major soil types and distribution; Major forest types and distribution; Demographic characteristics; Desertification, Droughts & Floods, Deforestation, Environmental Pollution and Ecological Concerns. Economy of Rajasthan: Major Minerals- Metallic & Non- Metallic; Power Resources- Renewable and Non Renewable; Major agro based industries- Textile, Sugar, Paper & Vegetable oil; Poverty and Unemployment; Agro food parks. 

Unit-III: Current Events and Issues of Rajasthan and India

Important Persons, Places and Current events of the State. National and International events of importance. New Schemes & Initiatives taken recently for welfare & development in Rajasthan.

RPSC Assistant Statistical Officer Syllabus: Part-B (110 Questions)

(1) Descriptive Statistics: Classification, tabulation and frequency distribution. Diagrammatic and Graphical Representation: Bar diagram, Pie chart, histogram, frequency polygon, frequency curve. Measures of central tendency: Arithmetic mean, geometric mean, harmonic mean, median, mode, quartiles, deciles and percentiles. Measures of Dispersion: Range, quartile deviation, mean deviation standard deviation, variance, coefficient of variation, moments, measures of skewness and kurtosis.

(2) Probability: Classical and Axiomatic approaches of probability, Conditional Probability, Bayes theorem, Simple problems on Probability. Random variable and Mathematical Expectation with applications, Chebychev’s inequality, Probability distributions: Probability mass function, Probability density function and their properties. Concept of moment generating function, cumulant generating function and characteristic function.

(3) Theoretical distributions: Discrete probability distributions: Bernoulli, binomial, Poisson, negative binomial, geometric and hypergeometric. Continuous probability distributions: Rectangular, normal, gamma and beta type one and type two and Cauchy. Sampling distributions: Chi-square, t-distribution, F-distribution their applications and inter-relationship.

(4) Correlation, Regression and Multivariate Analysis: Karl-Pearson’s coefficient of correlation and Spearman’s rank correlation coefficient, simple linear regression, method of least squares. Multivariate Normal Distribution, Hotelling’s T 2 distribution. Discriminant, Principal Component and Factor Analysis. Wishart’s distribution and its properties.

(5) Sampling methods: Simple random sampling with and without replacement, stratified random sampling, cluster sampling, systematic sampling, sampling for proportions.

(6) Experimental Design: Concept of analysis of variance (ANOVA) for one way and two-way classified data, uniformity trials, principles of design of experiments. Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD), missing plot technique, 22 and 23 factorial experiments in RBD, complete and partial confounding.

(7) Theory of estimation and Testing of Hypothesis: Point and interval estimation, properties of estimators. Methods of estimation: method of least squares and maximum likelihood estimation. Confidence interval and confidence limits. Concept of hypothesis, types of errors, Neyman-Pearson’s lemma, parametric tests for large and small samples. Non-parametric tests: run, sign and median.

(8) Time Series Analysis and Index Number: Components, Measurements of Trend, Seasonal, Cyclical and irregular variations, Autocorrelation, Auto regression, Periodogram. Uses, types, tests and limitations of index numbers, construction of index numbers, simple and weighted aggregate method, Simple and weighted average price-relatives, Chain base index numbers, base shifting, Splicing and Deflating of Index numbers, cost of Living index numbers.

(9) Agriculture Statistics and Statistical Organization in India: Importance of Statistics in Agriculture, Agricultural statistical system in India, Agricultural Census, Livestock Census, Land use statistics. Agriculture Survey. National Agricultural Production Index. Crop production Index, CSO, NSSO, National Income Statistics, Population Census.

(10) Interpolation, Extrapolation and Numerical Integration: Finite differences, divided differences, Newton’s forward and backward interpolation, Newton’s divided difference interpolation, Lagrange’s interpolation, Starling’s interpolation and Bessel’s interpolation formula, Simpson’s 1/3rd and 3/8th rule of numerical integration. Linear Programming: Graphical method of solution of linear programming in two variables, convex sets and their properties, simplex method, Assignment problems, Transportation problems.

(11) Matrices: Various types of matrices, their basic operations and properties. Rank of a Matrix; Invertible matrices and their inverse. Determinants: Determinants of a square matrix and their properties. Solution of a system of linear equations in two or three variables using the inverse of a matrix. Theory of equations: Relation between the roots and coefficients of a general polynomial equation in one variable. Transformation of equations. Descartes’ rule of signs.

(12) Calculus: Partial derivatives, curvature, asymptotes, envelopes and evolutes, maxima and minima of functions up to two variables, Beta and Gamma functions, double and triple integrals. Advanced Calculus: Mean value theorems (Rolle’s, Lagrange’s, Taylor’s theorems), sequence and series with convergence properties.

(13) Ordinary and Partial differential equations: Linear differential equations of first order and higher degree, Clairaut’s form, Linear differential equations of constant coefficients, ordinary homogeneous differential equations, Linear differential equations of second order with variable coefficients. Partial differential equations of first order, solution by Lagrange’s method.

(14) Integral transforms and Special functions: Hypergeometric functions, Legendre’s polynomials, Bessel’s functions. Recurrence relations and orthogonal properties. Laplace transform, inverse Laplace transform. Fourier sine and cosine transforms. Convolution theorem.