Combined Graduate Level Tier 2 Syllabus

Can you provide me the Staff Selection Commission Combined Graduate Level (SSC CGLE) Tier-II Exam syllabus as I need it for preparation of the exam?

[Shaleen]

The Staff Selection Commission Combined Graduate Level (SSC CGLE) Tier-II Exam syllabus is as follows:

Paper-I
Arithmetic Ability:
The questions are designed to test the ability of appropriate use of numbers and number sense of the candidate. The scope of the test will be the computation of
• Whole numbers
• Decimals
• Fractions and relationships between numbers
• Percentage
• Ratio & proportion
• Square roots
• Averages
• Interest
• Profit and loss
• Discount
• Partnership business
• Mixture and allegation
• Time and distance
• Time & work
• Basic algebraic identities of school algebra & elementary surds
• Graphs of linear equations
• Triangle and its various kinds of centres
• Congruence and similarity of triangles
• Circle and its chords
• Tangents
• Angles subtended by chords of a circle
• Common tangents to two or more circles
• 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
• Trigonometric ratio
• Degree and radian measures
• Standard identities
• Complementary angles
• Heights and distances
• Histogram
• Frequency polygon
• Bar diagram & pie chart.

Paper-II
English Language & Comprehension:
Questions in this components are designed to test the candidate‘s understanding and knowledge of English Language and is based on:
• Spot the error
• Fill in the blanks
• Synonyms
• Antonyms
• Spelling/detecting miss-spelt words
• Idioms & phrases
• One word substitution
• Improvement of sentences
• Active/passive voice of verbs
• Conversion into direct/indirect narration
• Shuffling of sentence parts
• Shuffling of sentences in a passage
• Close passage & comprehension passage.


Paper-III (for Investigator Grade-II, for Ministry of Statistics & Programme
Implementation & Compiler for RGI)

Statistics:

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. 16

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.