CGL TIER II Exam - 2019 2020 2021 MBA
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#1
20th October 2016, 12:11 PM
 Unregistered Guest
CGL TIER II Exam

Would you please give here detail about the SSC Combined Graduate Level (CGL) TIER II Examination ?
#2
20th October 2016, 01:09 PM
 Super Moderator Join Date: Mar 2013
Re: CGL TIER II Exam

Candidate who qualify the SSC CGL tier 1 exam can appear in SSC Combined Graduate Level (CGL) TIER II Exam.

SSC CGL Tier 2 Exam Pattern

Three papers :
Quantitative aptitude
Statistics

The paper will be of objective type.

Duration :
2 hours will be granted to solve each paper

For paper 1 and paper 3, the negative marking is of 0.50 marks
For paper 2, the negative marking will be imposed of 0.25 marks of questions

SSC Combined Graduate Level (CGL) Tier 2 Exam Syllabus

Paper-I : Arithmetic Ability :

This paper will include questions on problems relating to Number Systems, Computation of Whole Numbers, Decimals and Fractions and relationship between Numbers, Fundamental Arithmetical Operations, Percentage, Ratio and Proportion, Average, Interest, Profit and Loss, Discount, Use of Table and Graphs, Mensuration, Time and Distance, Ratio and Time etc.

Paper-II : English Language & Comprehension :

Questions in this components will be designed to test the candidate’s understanding and knowledge of English Language and will be based on error recognition, fill in the blanks (using verbs, preposition, articles etc), Vocabulary, Spellings, Grammar, Sentence Structure, Synonyms, Antonyms, Sentence Completion, Phrases and Idiomatic use of Words, etc. There will be a question on passages and omprehension of passages also. (The standard of the questions will be of 10+2 level).

STATISTICS

Probability, Probability Distributions, Binomial, Poisson, Normal, Exponential. Compilation, classification, tabulation of Statistical Data, Graphical presentation of data. Measures of central tendency, measures of dispersion, measures of association and contingency, scatter diagram, correlation coefficient, rank correlation coefficient and linear regression analysis ( for two or more variables ) excluding partial correlation coefficients. Concept of Population, random sample, parameters, statistics, sampling distribution of x properties of estimators and estimation of confidence intervals. Principles of sampling, simple random sampling, stratified sampling, systematic sampling etc., Sampling and non-sampling errors, type-I and type-II errors. Concepts of Hypothesis – Null and alternate, Testing of hypothesis for large samples as well as small samples including Chi-square tests ( Z, t, F, 2 tests ). Index Numbers, Time series analysis – components of variation and their estimation.

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