*Year 2013
*Year 2012
*Year 2011
*Year 2010
If you want to Download Tier-1 paper then click below link
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.
NOTE I: Paper-I & II are compulsory for all
the categories of posts .Paper-III is only for those candidates who apply for
the post of Statistical Investigator Gr.II & Compiler.
No comments:
Post a Comment