Can someone provide the entrance syllabus for M.Sc statistics of Nagarjuna University?

Section A: Statistical Methods Sheppards Corrections for grouping Central and non-central moments Skewness and Kurtosis B1, B2, r1 and r2 Coefficients Principle of least squares Family of curves Empirical Bivariate Distributions Covariance, Correlation and Regression Data Interpretation Large sample tests of significance for proportions, means, standard deviations, correlation Coefficient Small sample tests of significance based on normal Chi-square, t and F distributions Non-parametric tests advantages and disadvantages one sample paired samples Sign test, Wilcoxon signed rank test Analysis of variance of one way and two way classifications Principles experimentation randomization, replication and local control Description and analysis of completely randomized, randomized block and Latin square designs Section B: Applied Statistics Different types of Sampling Statistical basis of control chars Control charts for variables and attributes Construction and uses X, R, p, np. And C, charts Sources of population data, consum, rates and ratios Fertility and mortality rates, standardized death rates Component of complete and abridged tables Reproduction rates Notion of population Components of time series Measurement of trend by moving averages, least squares Determination of seasonal indices by ratio to trend and link relative methods Construction and uses of simple and weighted Index numbers Reversal tests of index numbers Fishers Ideal index number Base shifting and splicing Construction of cost of living Index number and whole sale price index number Indian Statistical system, functions and organizations of CSO Agricultural Statistics area and yield statistics N. S. O and its function Aim and scope of operations Research Problems Introduction to allocation models, Assignment, Transportation and sequencing problems and their solutions Formulation of linear Programming problems of three variables Applications of linear programming problems Elements of game theory Section C: Mathematical Statistics Probability and Bayes theorem Discrete and continuous random variables, distribution and density functions Mathematical expectation of random variable Definitions and properties of probability generating function, moment generating function, and cumulant generating function, characteristic function Chebyshavs inequality and its uses, Cauchy-Schwartz inequality Bivariate random variable, joint, Marginal and Conditional distributions.

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