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Click Here to Download Exam Papers of all the exams like Bank, IBPS PO, Clerk, SO, RRB- PO,Clerk, SBI- PO,Clerk, SSC CGL, Multitasking, Stenographer, 10+2, Intelligence Bureau, FCI, Insurance, GATE, IES and many more free Download
SYLLABUS FOR TIER-II OF THE EXAMINATION :
Paper-I : Quantitative Ability : 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 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 Alligation, 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
Paper-II : English Language & Comprehsion :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
blanks, synonyms, antonyms, spelling/detecting mis-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, cloze passage & comprehension
passage.
Paper-III : Statistics for Investigator Grade-II,
Ministry of Statistics & Programme Implementation & Compiler in 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.
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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