NOTIFICATION NO. 12/2018, Dt. 02/06/2018
MANDAL PLANNING AND STATISTICAL OFFICER / ASSISTANT STATISTICAL OFFICER IN DIRECTOR, DIRECTORATE OF ECONOMICS AND STATISTICS SUBORDINATE SERVICES DEPARTMENT. (GENERAL RECRUITMENT)
SYLLABUS
Paper-I: General Studies and General Abilities
No.of Questions = 150
Duration (Minutes) = 150
Maximum Marks = 150
Duration (Minutes) = 150
Maximum Marks = 150
Paper-II: Statistics (Common for all) (Degree Level)
No.of Questions = 150
Duration (Minutes) = 150
Maximum Marks = 150
No.of Questions = 150
Duration (Minutes) = 150
Maximum Marks = 150
Total Marks = 300
Name of the Papers = PAPER-I: General Studies and General Abilities & Paper-II: Statistics (Common for all) (Degree Level)
Language Of Examination = Bilingual i.e., English and Telugu
SYLLABUS
PAPER-I: GENERAL STUDIES AND GENERAL ABILITIES
1. Current Affairs – Regional, National and International
2. International Relations and Events.
3. General Science; India’s achievements in Science and Technology
4. Environmental issues and Disaster Management
5. The 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
2. International Relations and Events.
3. General Science; India’s achievements in Science and Technology
4. Environmental issues and Disaster Management
5. The 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)
I. 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.
Sampling (Random, Non Random) - Census - Schedule and questionnaire – Frequency distribution
- Tabulation - Diagrammatic and graphic presentation of data.
II. 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 applications.
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.
Geometric Mean, Harmonic Mean, Median, Mode, Deciles, Percentiles - Properties of averages and their applications.
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.
III. 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.
and simple examples based on theorems, conditional, probability of an event, independent events, Baye’s theorem and its applications.
IV. Concept of Random variable
Discrete and Continuous, Bernoulli, Binominal and Poisson distributions, Normal distribution and its applications and uses.
Concept of Unbiased estimator, consistency, efficiency, and sufficiency, large and small sample tests. The concept of null and alternative hypothesis,
Concept of Unbiased estimator, consistency, efficiency, and sufficiency, large and small sample tests. The concept of null and alternative hypothesis,
V. 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.
Regression analysis: Meaning and utility - Comparison between Correlation and Regression - Regression Equations - Interpretation of Regression Coefficient.
VI. 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 .
- 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 .
VII. SAMPLING TECHNIQUES
Complete enumeration vs. Sampling, estimation of Sample size and Simple, Stratified and Systematic Random Sampling.
VIII. 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 Flowcharts, MS-Office
Arithmetic and Logical operations on numbers. Precision. AND, OR, XOR, NOT and Shit/Rotate operators, Algorithms and Flowcharts, MS-Office
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