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
Index Numbers, Time series analysis – components of variation and their estimation.