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SSC Combined Graduate Level Tier II Exam Papers
Hello sir I am here as I want to get syllabus on which the SSC Combined Graduate Level Tier II Exam paper is based on so will you please provide me the syllabus??

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Re: SSC Combined Graduate Level Tier II Exam Papers
Hey!! As per your demand here I am providing you syllabus of the SSC Combined Graduate Level Tier II PaperI 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. PaperII 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 missspelt 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. PaperIII (for Investigator GradeII, 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 nonsampling errors; Probability and nonprobability 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, Chisquare and F statistic, Confidence intervals. Analysis of Variance  Analysis of oneway classified data and twoway 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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