HomeSyllabusTSPSC MPSO Syllabus 2025 PDF Download | Check Exam Pattern

TSPSC MPSO Syllabus 2025 PDF Download | Check Exam Pattern

TSPSC MPSO Syllabus 2025 PDF Download: Candidates who have filled the application form for the Mandal Planning Statistical Officer (MPSO) Exam can check the details in this page. Here, we have provided the latest TSPSC MPSO Exam Syllabus 2025, along with the TSPSC MPSO Exam Pattern 2025. For sake of the candidates, we have shared the direct download link for the TSPSC MPSO Syllabus 2025 PDF Download & Exam Pattern in the below sections.

TSPSC MPSO Syllabus 2025 – Overview

Organization NameTelangana State Public Service Commission (TSPSC)
Post NameMandal Planning Statistical Officer (MPSO)
CategorySyllabus
Official Websitetspsc.gov.in

TSPSC MPSO Exam Pattern 2025

PaperSectionTotal QuestionMaximum MarksTime Duration
Paper – 1General Studies and General Abilities150150150 Min.
Paper – 2Statistics Degree Level(Common for All)150150150 Min.
Total300300

PAPER-I: GENERAL STUDIES AND GENERAL ABILITIES

  1. Current Affairs – Regional, National and International
  2. International Relations and
  3. General Science; India’s achievements in Science and Technology
  4. Environmental issues and Disaster Management
  5. Economy of India and Telangana
  6. Geography of India with a focus on Telangana
  7. Indian Constitution and Polity with a focus on local self Government
  8. Society, Culture, Heritage, Arts and Literature of Telangana
  9. Policies of Telangana State
  10. History of Modern India with a focus on Indian National Movement
  11. History of Telangana with special emphasis on Movement for Telangana Statehood
  12. Logical Reasoning, Analytical Ability and Data Interpretation
  13. Basic English

Paper-II: STATISTICS
(Common for All) (Degree Level)

  1. Introduction to Statistics

Meaning, importance and limitations of statistics – Collection of data – Primary and Secondary data. Sampling (Random, Non Random) – Census – Schedule and questionnaire – Frequency distribution – Tabulation – Diagrammatic and graphic presentation of data.

  1. Measures of Central Tendency, Dispersion, Skewness and Kurtosis Meaning, objectives and characteristics of measures of central tendency – Types of Averages: Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Mode, Deciles, Percentiles – Properties of averages and their

Dispersion: Meaning and properties – Types: Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation.

Skewness: Meaning – Karl Pearson’s and Bowley’s Measures of Skewness and Kurtosis.

  • Probability

Random experiment, sample space, event, algebra of events, probability on a discrete sample space, basic theorems of probability and simple examples based on theorems, conditional, probability of an event, independent events, Baye’s theorem and its applications

  1. The concept of Random variable

Discrete and Continuous, Bernouli, Binominal and Poisson distributions, Normal distribution and its applications and uses. Concept of Un biased estimator, consistency, efficiency and sufficiency, large and small sample tests. Concept of null and alternative hypothesis,

  1. Correlation and Regression:

Correlation: Meaning and uses – Types of correlation – Karlpearson’s correlation coefficient – Spearman’s Rank correlation – Probable error.
Regression analysis: Meaning and utility – Comparison between Correlation and Regression – Regression Equations – Interpretation of Regression Coefficient

  1. Analysis of Time Series and Index Numbers:

Time Series Analysis: Meaning and utility – Components of time series – Measurement of trend and seasonal variations – Utility of decomposition of time series – Decentralization of data.
Index Numbers: Meaning and importance – Methods of construction of index numbers: Price Index Numbers, Quantity Index Numbers – Tests of Adequacy of Index Numbers – Deflating Index Numbers – Cost of living Index Numbers – Limitation of Index Numbers .

  • SAMPLING TECHNIQUES

Complete enumeration vs. Sampling, estimation of Sample size and Simple, Stratified and Systematic Random Sampling.

  • Basics of Computers:

Binary system, Octal and Hexadecimal systems. Conversion to and from Decimal systems. Codes, Bits, Bytes and Words. Memory of a computer, Arithmetic and Logical operations on numbers. Precision. AND, OR, XOR, NOT and Shit/Rotate operators, Algorithms and Flow charts, MS-Office.

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