» » SSC CGL syllabus and exam pattern of tier 1 2 & 3

SSC CGL Tier 1, 2 and 3 Exam Pattern and Syllabus
SSC CGL Exam Structure
 Tier 1 – It is a objective type Written Test.
 Tier 2 – Written Test with Objective Multiple Choice Questions.
 Tier 3 – Personality Test/interview, Skill Test, Computer Knowledge Test, and Document Verification Test.

SSC CGL Tier 1 Exam Pattern
   General Intelligence & Reasoning:  50 Marks (50 Questions)
    General Awareness: 50 Marks (50 Questions)
    Quantitative Aptitude: 50 Marks ( 50 Questions)
    English Comprehension: 50 Marks (50 Questions)

SSC CGL Tier 2 Exam Pattern
    1st Paper (Quantitative Abilities): 100 Questions of 200 Marks
    2nd Paper (English Language & Comprehension): 200 Questions of 200 Marks
    3rd (Statistics): 100 Questions of 200 Marks

Note: Negative marking with 1/4th ratio.
SSC CGL 2014 Tier 1 and Tier 2 Syllabus

General Intelligence & Reasoning:

Analogies, Space Visualization, Similarities and Differences, Analysis, Decision making, Problem Solving, Visual Memory, Spatial orientation, Judgment, Discrimination, Observation, Relationship concepts and Figural Classification, Arithmetical Reasoning, Statement Conclusion, Non-Verbal series, Coding and Decoding, Syllogistic Reasoning Arithmetic Number Series,  etc. Symbolic/Number Analogy, Semantic Analogy, Symbolic/Number Classification, Semantic Classification, Figural Analogy, Figural Classification, Semantic Series, Figural Series, Problem Solving, Number Series, Coding & De-coding, Word Building, Numerical Operations, Venn Diagrams, Space Orientation, Space Visualization, Trends, Drawing inferences, Figural Pattern – folding and completion, Punched hole/Pattern –folding & UN-folding, Symbolic Operations, Address matching, Indexing, Classification of Center codes/roll numbers, Small and Capital letters/numbers  decoding and classification, coding, Date & City matching,  Emotional Intelligence, Social Intelligence Critical thinking, Embedded Figures, etc.

General Awareness:
Current Events, Geography, India and its neighboring countries especially pertaining History,  Culture, Scientific Research, Economic Scene, General Policy etc.

Quantitative Aptitude:

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

 English Comprehension:

Spot the Error, Fill in the Blanks, Improvement of sentences, Synonyms, Antonyms, Idioms & Phrases, One word substitution, Spelling/Detecting mis-spelt words, Active/Passive voice of verbs, Conversion into Direct/Indirect Narration, Comprehension Passage, Shuffling of sentence parts, Cloze passage & Shuffling of Sentences in a passage etc.

Statistics:  For Investigator Grade-II of Ministry Statistics, Programme Implementation & Compiler in RGI.

Tabulation of data; Methods of data collection; Graphs and charts; Collection Classification and Presentation of Statistical Data – Primary and Secondary data, Diagrammatic presentation of frequency distributions, Frequency distributions, Partition values- quartiles, deciles, percentiles. Quartile deviations, Measures of Dispersion- Common measures dispersion – range,mean deviation and standard deviation, Measures of Central Tendency- Common measures of central tendency – mean median and mode, Moments, meaning of skewness and kurtosis; different measures of skewness and kurtosis, simple regression lines; Measures of relative dispersion. Skewness and Kurtosis – Different types of moments and their relationship; Correlation and Regression – Scatter diagram; simple correlation coefficient; Spearman’s rank correlation; Multiple Regression; Multiple and partial correlation (For three variables only), Measures of Association of Attributes; Probability Theory – Meaning of probability; Conditional probability; Different definitions of probability; Compound probability;Bayes’ theorem,   Independent events, Random Variable and Probability Distributions – Random Variable; Probability Functions; Higher moments of a Random Variable; Poisson, Binomial, Expectation and Variance of a Random Variable; Normal and Exponential distributions; Parameter and statistic, Sampling Theory – Concept of population and sample; Probability and non-probability, Joint distribution of two random variable (discrete),  Sampling and non-sampling errors; sampling techniques (multistage sampling, simple random sampling, convenience sampling, multiphase sampling, stratified sampling, systematic sampling, cluster sampling, purposive sampling and quota sampling); Sampling distribution (statement only); Properties of a good estimator, Sample size decisions, Statistical Inference – Point estimation and Interval Estimation, Problems in the construction of index numbers, Index Numbers – Meaning of Index Numbers, Time Series Analysis – Components of time series, Different formula, Determinations of trend component by different methods,Base shifting, Measurement of seasonal variation by different methods, Types of index number and splicing of index numbers, Uses of Index Numbers, Methods of estimation, Cost of living Index Numbers.Testing of hypothesis, Small sample and large sample tests, Basic concept of testing, Tests based on Z, Chi-square, Confidence intervals. And F statistic, Analysis of Variance – Analysis of one-way classified data and two-way classified data.


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