HomeSyllabusRPSC ASO Syllabus PDF Download

RPSC ASO Syllabus PDF Download

RPSC ASO Syllabus PDF Download – In this article, students will find the RPSC ASO Exam Syllabus PDF direct links, RPSC ASO Exam Pattern 2022, and RPSC ASO Selection Process, and so on.

RPSC ASO Syllabus 2022 – Overview

Board NameRajasthan Public Service Commission (RPSC)
PostsAssistant Statistical Officer (ASO)
CategorySyllabus
Job LocationRajasthan
Official Websiterpsc.rajasthan.gov.in
RPSC ASO Previous Question PapersClick Here

RPSC ASO Exam Pattern

  • No of Questions – 100 Questions
  • No of Marks – 100
  • Time duration –
  • Language –
  • Exam Type – Objective Type
  • Negative Marking – Yes, One-third (1/3)
Subjects NameQuestionsMarks
General Knowledge3030
Statistics, Economics and Mathematics7070
Total100100 Marks

RPSC ASO Syllabus

General Knowledge

  • 1) Geography, Natural Resources and Socio-Economic Development of Rajasthan: Major physiographic divisions of Rajasthan, Vegetation and Soil, Natural Resources – Minerals, Forest, Water, Livestock, Wild Life and its Conservation, Environmental Conservation, major Irrigation Projects, Handicrafts, Development Programmes and Schemes of the State Government, Various Resources of power and Population in Rajasthan.
  • 2) History, Culture and Heritage of Rajasthan: History of Rajasthan, Famous Historical & Cultural Places of Rajasthan, Folk Literature, Folk Art, Folk Drama, Lok Devian- Devata, Folk Music and Dance, Fairs & Festivals. Customs, Jewellery, Famous Forts. Temples and hawelies. Saints of Rajasthan, Paintings- various schools in Rajasthan. Major tourist centres and Heritage Conservation.
  • 3) Current Events and Issues of Rajasthan and India, a major development in the field of Information Technology & Communication.

Statistics, Economics and Mathematics

  • 1) Collection, Classification, Tabulation and Diagrammatic Presentation of data. Measures of Central Tendency, Dispersion, Moments, Skewness and Kurtosis.
  • 2) Correlation and Regression: Correlation and its coefficients, Linear Regression.
  • 3) Testing of Hypothesis: Concept of Hypothesis, Types of error in testing, Critical Region and level of significance, small and large samples.
  • 4) Design of Sample Survey: Sampling Unit, Sampling frame, Sampling fraction, Sampling with and without replacement, Population Parameter and Sample estimator, efficiency, accuracy and precision, sampling and non sampling errors, Simple random sampling, stratified random sampling, systematic sampling, cluster sampling, multistage sampling.
  • 5) Time Series Analysis: Components, Measurements of Trend, Seasonal, Cyclical and irregular variations.

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