RSMSSB Sanganak Computer Syllabus 2018-2019

RSMSSB Sanganak (Computer) Syllabus 2018-2019

Good news for the candidates who looking for RSMSSB Sanganak Syllabus 2018-2019. We gather complete information and provided in this section. So, aspirants, who want to get more score in the written exam they must work hard. We advice all the candidates use the accurate details and begin the preparation. Without knowing clear view about Syllabus and Test Pattern, you cannot crack the written exam. Clearly, we mentioned RSMSSB Sanganak Test Pattern in the above section. Check the syllabus from here or visit the official web portal of Rajasthan subordinate and ministerial services selection board. Click on the below links and download the syllabus in PDF format.

Part A: General Knowledge

  • Indian Parliament
  • Indian Politics
  • Famous Days & Dates
  • Basic Computer
  • Indian History
  • Inventions in the World
  • Sports
  • Indian Economy
  • Chemistry
  • Geography
  • Famous Books & Authors
  • Botany
  • Environment
  • Indian Culture
  • Physics
  • Zoology

History, Culture, and Heritage of Rajasthan

  • Folk Drama
  • Lok Debian-Devata
  • Temples and Hawelies
  • Saints of Rajasthan
  • Paintings- various schools in Rajasthan
  • History of Rajasthan
  • Famous Forts
  • Famous Historical & Cultural Places of Rajasthan
  • Folk Literature
  • Major tourist centres and Heritage Conservation.
  • Folk Music and Dance
  • Fairs & Festivals
  • Folk Art
  • Customs
  • Jewellery


PART-B – Statistics, Economics, and Mathematics

  • Index Number: Uses, types, 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, Cost of Living index numbers.
  • Collection, Classification, Tabulation and Diagrammatic Presentation of data. Measures of Central Tendency, Dispersion, Moments.
  • Correlation and Regression: Correlation and its coefficients, Linear Regression.
  • Design of Sample Survey: Sampling Unit, Sampling frame, Sampling fraction, Sampling with and without replacement, Population Parameter and Sample estimator, Simple random sampling, stratified random sampling, systematic sampling, cluster sampling.
  • Time Series Analysis: Components, Measurements of Trend, Seasonal, Cyclical and irregular variations.
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