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# SSC CGL Syllabus

## SSC Graduate Level Exam Syllabus:

### SSC Tier – I Exam Syllabus :

General Intelligence & Reasoning: General Intelligence Practice Questions

Semantic Analogy, Figural Analogy, Classification of centre codes/roll numbers, Semantic Classification, Symbolic/Number Classification, Figural Classification, Semantic Series, Number Series, Figural Series, Symbolic/Number Analogy, Problem Solving, Word Building, Coding & de-coding, Numerical Operations, symbolic Operations, Trends, Space Visualization, Venn Diagrams, Drawing inferences, Punched hole/pattern –folding & un-folding, Figural Pattern – folding and completion, Indexing, Address matching, Space Orientation, Date & city matching, Small & Capital letters/numbers coding, decoding and classification, Embedded Figures, Critical thinking, Emotional Intelligence, Social Intelligence.

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General Awareness: Current Affairs and GK

Current events knowledge, questions related to India’s Geography, Economic Scene, History, Culture, General Policy & Scientific Research.

Quantitative Aptitude: Quantitative Aptitude Questions for SSC

Pie chart, computation of whole numbers, decimals, Graphs of Linear Equations, fractions and relationships between numbers, Regular Polygons, Right Circular Cone, angles subtended by chords of a circle, Percentage, Circle, Ratio & Proportion, Square roots, Averages, Interest, Profit and Loss, Discount, Quadrilaterals, Partnership Business, Mixture and Alligation, Time and distance, Degree and Radian Measures, Time & Work, Basic algebraic identities of School Algebra & Elementary surds, Triangle and its various kinds of centres, Congruence and similarity of triangles, Circle and its chords, tangents, common tangents to two or more circles, Triangle, Right Prism, Right Circular Cylinder, Sphere, Hemispheres, Rectangular Parallelepiped, Regular Right Pyramid with triangular or square base, Trigonometric ratio, Standard Identities, Complementary angles, Heights and Distances, Histogram, Frequency polygon, Bar diagram.

English Comprehension: Basic comprehension and writing ability

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## SSC Tier – II Exam Syllabus:

Quantitative Ability:

computation of whole numbers, Histogram, Frequency polygon, decimals ,fractions and relationships between numbers, Regular Polygons , Circle, Right Prism, Right Circular Cone, Right Circular Cylinder, Sphere, Hemispheres, Rectangular Parallelepiped,Percentage. Ratio & Proportion,Square roots, Averages, Interest, Profit and Loss, Discount, Partnership Business, Mixture and Alligation, Time and distance, Time & Work, Basic algebraic identities of School Algebra & Elementary surds, Graphs of Linear Equations, tangents, angles subtended by chords of a circle, common tangents to two or more circles, Triangle, Quadrilaterals, Regular Right Pyramid with triangular or square base, Trigonometric ratio, Degree and Radian Measures, Triangle and its various kinds of centres, Congruence and similarity of triangles, Circle and its chords, Standard Identities, Complementary angles, Heights and Distances, Bar diagram & Pie chart

English Language & Comprehsion:

spot the error, fill in the blanks, synonyms, one word substitution, improvement of sentences, active/passive voice of verbs, conversion into direct/indirect narration, antonyms, spelling/detecting mis-spelt words, shuffling of sentence parts, shuffling of sentences in a passage, cloze passage, idioms, phrases, & comprehension passage.

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Statistics:

(1) Collection Classification and Presentation of Statistical Data: Primary and Secondary data, Methods of data collection; Tabulation of data; Graphs and charts; Frequency distributions; Diagrammatic presentation of frequency distributions.

(2) Measures of Central Tendency- Common measures of central tendency – mean median and mode; Partition values- quartiles, deciles, percentiles.

(3) Measures of Dispersion- Common measures dispersion – range, quartile deviations, mean deviation and standard deviation; Measures of relative dispersion.

(4) Spearman’s rank correlation; Measures of association of attributes; Multiple regression; Multiple and partial correlation (For three variables only).

(5) Moments, Skewness and Kurtosis – Different types of moments and their relationship; meaning of skewness and kurtosis; different measures of skewness and kurtosis.
Correlation and Regression – Scatter diagram; simple correlation coefficient; simple regression lines;

(6) Sampling Theory – Concept of population and sample; Parameter and statistic, Sampling and non-sampling errors; Probability and non-probability sampling techniques(simple random sampling, stratified sampling, multistage sampling, multiphase sampling, cluster sampling, systematic sampling, purposive sampling, convenience sampling and quota sampling); Sampling distribution(statement only); Sample size decisions.
(7) Probability Theory – Meaning of probability; Different definitions of probability; Conditional probability; Compound probability; Independent events; Bayes’ theorem.
(8) Statistical Inference – Point estimation and interval estimation, Properties of a good estimator, Methods of estimation (Moments method, Maximum likelihood method, Least squares method), Testing of hypothesis, Basic concept of testing, Small sample and large sample tests, Tests based on Z, t, Chi-square and F statistic, Confidence intervals.

(9) Time Series Analysis – Components of time series, Determinations of trend component by different methods, Measurement of seasonal variation by different methods.
(10) Analysis of Variance – Analysis of one-way classified data and two-way classified data.
(11) Index Numbers – Meaning of Index Numbers, Problems in the construction of index numbers, Types of index number, Different formulae, Base shifting and splicing of index numbers, Cost of living Index Numbers, Uses of Index Numbers.

(12) Random Variable and Probability Distributions – Random variable; Probability functions; Expectation and Variance of a random variable; Higher moments of a random variable; Binomial , Poisson, Normal and Exponential distributions; Joint distribution of two random variable (discrete).

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