RPSC Assistant Statistical Officer ASO Previous Year Paper PDF

RPSC ASO Previous Year Paper PDF: The Rajasthan Public Service Commission has recently invited online application forms for the Recruitment of Assistant Statistical Officer ASO. In this article we provide the RPSC Previous year Papers PDF of years 2018, 2021 and 2024. The Aspirants who are preparing for the RPSC ASO Exam can download the RPSC ASO Old papers from this article. also we provide the Syllabus and Exam Pattern of RPSC ASO 2024.

Overview of RPSC ASO Previous year paper

Important Dates

RPSC ASO Previous Year Papers

Qualification & Vacancy Details

RPSC Assistant Statistical Officer ASO Syllabus 2024 Vacancy Details and required qualification given below-

Selection Process for RPSC Assistant Statistical Officer (ASO)

आरपीएससी अस्सिटेंट स्टैटिसटिकल ऑफिसर का सिलेक्शन प्रोसेस नाम प्रकार दिया गया है आपको बता दें इसमें सबसे पहले एक रिटन एग्जाम होगा जो बहुविकल्पीय प्रश्न पत्र के साथ होगा उसके बाद डॉक्युमेंट वेरीफिकेशन होगा और जो डॉक्यूमेंट वेरिफिकेशन पास हो जाएंगे उनके लिए मेडिकल एग्जामिनेशन और जॉइनिंग का प्रोसेस होगा.

• Written Exam
• Document Verification
• Medical Examination

Also Check: Rajasthan CET Graduation Level Notification OUT

Exam Pattern of RPSC ASO 2024

1. The competitive examination shall carry 150 marks and 150 questions of Multiple Choice Type questions.
2. There shall be one paper. Duration of Paper will be 2 hours and 30 Minutes.
3. Negative marking shall be applicable in the evaluation of answers. For every wrong answer 1/3 of the marks
   Explanation :- Wrong answer shall mean an incorrect answer or multiple answers.

RPSC Assistant Statistical Officer ASO Detailed Syllabus 2024

आरपीएससी अस्सिटेंट स्टैटिसटिकल ऑफिसर के पद पर भर्ती में एक प्रश्न पत्र होगा जिसमें दो पार्ट होंगे पार्ट ए और पार्ट B आपको बता दे अ Part में 40 प्रश्न पूछे जाएंगे और पार्ट B में 110 प्रश्न पूछे जाएंगे कल 150 प्रश्न पूछे जाएंगे जो कल 150 अंक के होंगे.

RPSC ASO Part A Syllabus 2024 (40 Questions)

आरपीएससी ASO एग्रीकल्चर के पार्ट ए का विस्तृत सिलेबस निम्न प्रकार दिया गया है-

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 (ASO) Syllabus: Part-B (110 Questions)

RPSC Assistant Statistical Officer (ASO) Syllabus 2024 के पार्ट ब का विस्तृत सिलेबस निम्नलिखित दिया गया है-

(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, and 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.

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Download PDF of RPSC ASO Syllabus 2024(Agriculture): Syllabus PDF