SSC CGL (TIER – 2) EXAM COACHING IN DELHI SSC CGL COACHING IN DELHI SSC CGL TIER – 2 ENTRANCE EXAM 2014 COACHING IN SOUTH DELHI SSC COMPETITIVE EXAM SSC CLASSES IN DELHI SSC PREPARATION.
SSC CGL (Tier-II) Exam Pattern / Syllabus / Schedule 2014
SBP INSTITUTE We aim to provide (SSC TIER – 2) Exam Coaching the teaching methods of SBP INSTITUTE trains the students to think logically and give them a systematic approach to solve their writing problem. This is made certain stimulating atmosphere of the coaching centre, optional batch size and one to one interaction with the teachers. The course material provided captures the essence of each concept effectively. Our vision a conductive and congenial environment is maintained at the centre of “SBP INSTITUTE” to make the process of learning faster and easier. The classrooms are airy and healthy atmosphere, comfortable and equipped with the latest teaching aids.
A Combined Graduate Level Examination Tier-2 will be conducted only for those who have been declared as Qualified in Tier-I Exam with minimum Qualifying marks. Tier-2 Examination will be Objective Type consisting of Multiple Choice Questions which will be held on Two Days on30/08/2014 and 31/08/2014. If you qualify in Tier-I examination you will be called for Tier-2 examination. Before you prepare for Tier-2 Examination, you must go through the exam pattern and exam syllabus of Tier-2 examination as described in the following paragraphs.
SSC Exam Pattern of CGL (Tier-2) Examination
|Name of Test||Marks||Questions||Schedule||Timings|
|Statistics (Paper-III)||200||200||28/09/2013||2 pm to 4 pm|
|Quantitative Abilities (Paper-I)||200||200||29/09/2013 (FN)||10 am to 12 pm|
|English Language & Comprehension (Paper-II)||200||200||29/09/2013 (AN)||2 pm to 4 pm|
Note: Paper-I and Paper-II will be compulsory for all the categories of Posts while Paper-III will be conducted only for the post of Statistical Investigators Gr.II and Compiler. Level of Questions in Paper-I will of be Class 10th, in Paper-II will be of Class 12th and in Paper-III will be of Graduation.
1. Paper-I (Quantitative Ability)
2. Paper-II (English Language & Comprehension)
3. Paper-III (Statistics)
- Collection Classification and Presentation of Statistical Data
- Measures of Central Tendency
- Measures of Dispersion
- Moments, Skewness and Kurtosis
- Correlation and Regression
- Probability Theory
- Random Variable and Probability Distributions
- Sampling Theory
- Statistical Inference
- Analysis of Variance
- Time Series Analysis
- Index Numbers
CGLE Tier-II Exam Syllabus
SSC – Combined Graduate Level Examination Tier-II Syllabus
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
- Fractions and relationships between numbers
- Ratio & proportion
- Square roots
- Profit and loss
- 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
- Angles subtended by chords of a circle
- Common tangents to two or more circles
- Regular polygons
- Right prism
- Right circular cone
- Right circular cylinder
- Rectangular parallelepiped
- Regular right pyramid with triangular or square base
- Trigonometric ratio
- Degree and radian measures
- Standard identities
- Complementary angles
- Heights and distances
- Frequency polygon
- Bar diagram & pie chart.
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
- 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)
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.