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#1
August 26th, 2015, 11:10 AM
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Guys, I want to appear SSC Combined graduate level tier-II exam , For it here I looking syllabus for exam preparation , if you have will you please provide me ?????
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#2
August 26th, 2015, 02:51 PM
 Vinodt Super Moderator Join Date: Jun 2013 Posts: 42,231
Re: Combined Graduate Level (Tier-II) Exam

As you want to appear SSC Combined graduate level exam on your demand here I am providing Syllabus for your help :

SSC - Combined Graduate Level Examination Tier-II Syllabus

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
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
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
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

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.
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