## SSC CGL 2015 Tier-2 Exam Pattern & Syllabus

Staff Selection Commission(SSC) has already issued notification for CGL Exam, 2015. Candidates who will qualify the CGL Tier-1 exam will be eligible for appearing in CGL Tier-II exam 2015. Today, we are sharing the Exam pattern and Syllabus of SSC CGL Tier-II exam.

The Tier-II of CGL Examination 2015 will be of Objective Type.The exam pattern is given below.

Paper-I : Quantitative Ability : The questions will be designed to test the ability of appropriate use of numbers and number sense of the candidate.

• Number Systems.
• Test of Divisibility
• LCM and HCF
• Square and Square Root
• Cube and Cube Root
• Power, Indices and Surds
• Simplification
• Average
• Age Determination
• Ratio and Proportion
• Alligation
• Partnership
• Percentage
• Profit and Loss
• Discount
• Simple Interest and Compound Interest
• Time and Work
• Work and Wages
• Pipe and Cistern
• Time and Distance
• Boat and Streams
• Sequence and Series
• Algebra(Basic Algebraic Identities, Graphs of Linear Equation)
• Trigonometry(Trigonometric ratio, Degree and Radian Measures, Standard Identities, Complementary angles, Heights and Distances)
• Geometry(Triangle, Quadrilaterals, Regular Polygons , Circle, Right Prism, Right Circular Cone, Right Circular Cylinder, Sphere, Hemispheres, Rectangular Parallelepiped, Regular Right Pyramid with triangular or square base)
• Mensuration (Regular Polygons, Prism, Pyramid)
• Statistical and Data Interpretation (Histogram, Frequency polygon, Bar diagram & Pie chart)

Paper-II : English Language & Comprehsion: Questions in this components will be designed to test the candidate’s understanding and knowledge of English Language.

• Narration (Direct / Indirect speech)
• Voice (Active / Passive)
• Sentence Improvement
• Common Error
• Idioms & Phrases
• One Word Substitution
• Sentence Arrangement
• Cloze Test
• Comprehension
• Fill in the Blanks
• Synonyms
• Antonyms

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

• 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.

• Measures of Central Tendency- Common measures of central tendency - mean median and mode; Partition values- quartiles, deciles, percentiles.
• Measures of Dispersion- Common measures dispersion - range, quartile deviations, mean deviation and standard deviation; Measures of relative dispersion.
• 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; Spearman’s rank correlation; Measures of association of attributes; Multiple regression; Multiple and partial correlation (For three variables only).
• Probability Theory - Meaning of probability; Different definitions of probability; Conditional probability; Compound probability; Independent events; Bayes’ theorem.
• 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).
• 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.
• 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.
• Analysis of Variance - Analysis of one-way classified data and two-way classified data.
• Time Series Analysis - Components of time series, Determinations of trend component by different methods, Measurement of seasonal variation by different methods.
• 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.

NOTE-I : Questions in Paper-I will be of 10th standard level, Paper-II of 10+2 level and Paper-III of graduation level.

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