For Tier 1 Exam
SSC Combined Graduate Level Examinations
(Syllabus For Tier-1)
General Intelligence and Resouning
It would include questions of both verbal and non-verbal type. This component may include questions on
The Topics are:-
Questions in this component will be aimed at testing the candidates general awareness of the environment around him and its application to society. Questions will also be designed to test knowledge of current events and of such matters of every day observations and experience in their scientific aspect as may be expected of any educated person. The test will also include questions relating to India and its neighbouring countries especially pertaining
- General Awarness
- Economics policy
- General Policy & Scientific Research.
Numerical Aptitude :
The questions will be designed to test the ability of appropriate use of numbers and number sense of the candidate
The scope of the test will be computation of whole numbers
decimal fractions and relationships between numbers
Percantage rate and profit and Loss
Mixture and Alligation
Time and distance
Time and Work Basic algebra c 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
angles subtended by chords of a circle
common tangents to two or more circles
Right Circular Cone
Right Circular Cylinder
Regular Right Pyramid with triangular or square base
Degree and Radian Measures
Heights and Distances
Bar diagram & Pie chart
Candidates‘ ability to understand correct English
his basic Comphrehension and writing ability
etc. would be tested.
(The questions in all the components A,B & D will be of a level commensurate with the Essential Qualification prescribed for the post viz.
graduation and questions in component C will be of 10+2 level)
Syllabus:of The Examination Tier-II
Paper -1 Arithmetic Ability : The questions will be designed to test the ability of appropriate use of numbers and number sense of the candidate
Paper-II English Language & Comphrension : Questions in this components will be designed to test the candidate‘s understanding and knowledge of English Language and will be based on spot the error,
Fill in the blamks
Spelling/detecting mis-spelt words
Idoms and phrases
One word subsition iimprovement sentences
Active/passive voice of verbs
Conversion into direct/indirect narration
Shuffling of sentence parts
Shuffling of sentences in a passage
Close passage & comprehension n passage
Paper-III : Statistics for Investigator Grade-II, for Ministry of Statistics & Programme Implementation & Compiler for RGI.
Collection Classification and Presentation of Statistical Data – Primary and Secondary dataMethods of data collectionTabulation of data; Graphs and chartsFrequency distributionsDiagrammatic 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 Number