Is there any entrance for M.Sc Statistics in Delhi University

Will you please tell me is there any entrance exam for admission in M.Sc Statistics at Delhi University??

Yes there is entrance Exam for admission in M.Sc Statistics at Delhi University

Eligibility:
-Applicants who have graduated under 10+2+3 scheme or any Equivalent Scheme are eligible for admission.
- Must have passed BSc.(Hons.) Examination in Statistics (Integrated Course) of the University of Delhi with 55% in aggregate.
- Must have passed B.A.(Hons.)/B.Sc.(Hons.) Examination in Statistics from other Universities recognized by Delhi University with at least 8 papers of Statistics with minimum 70% in the aggregate
- Paased B.Sc. Applied Physical Sciences with statistics/B.A. Programme with Statistics/B.Sc. (Gen.) (Old Course)/B.A. (Pass)(Old Course) of the University of Delhi or an Examination recognized as equivalent thereto with Statistics and Mathematics as subjects/Courses with 70% in aggregate & 70% in Statistics and Mathematics papers taken separately.
- Passed B.Sc.(Hons.) Examination in Computer Science of the University of Delhi
60% in aggregate & 65% in each of the papers:
204 (Probability) and 304 (Statistics)

Detailed Syllabus of M.Sc in Statistics Entrance Exam

Probability
Approaches to probability - Classical approach to probability, Relative frequency approach to probability, Richard Von Mises approach to probability, Cramer and Kolmogorov’s approach to probability
Moment generating functions
Conditional Probability
Unconditional Probability
Probability generating functions
Chesbyshev’s inequality and its application
Sample Space - Discrete sample space, Continuous sample space
Event - Operation of Event, Independent Events, Mutually Exclusive Events
Random Experiment
Trial
Baye’s theorem and its application
Random Variables

Distributions
Poisson distribution
Geometric Distribution
Hyper-geometric Distribution
Continuous univariate distributions
Normal Distribution
Exponential Distribution
Gamma and Beta Distribution
Uniform Distribution
Binomial Distribution

Types of Data
Primary and Secondary data
Presentation of Data
Qualitative and quantitative Data
Discrete and Continuous data
Frequency Polygon
Measures of central tendency
Dispersion
Relative Dispersion
Absolute Dispersion
Construction
Diagrammatic
Graphical representation
Bar diagram
Ogive diagram
Histogram
Regression lines
Regression coefficient
Principal of least squares
Analysis of Categorical Data
Bivariate Data
Scatter diagram
Correlation coefficient
Rank correlation
Spearman’s and Kendall’s measures
Multivariate Data
Multiple correlations in three variables
Partial correlation in three variables

Sampling
Random sample
Use of central limit theorem for testing and interval estimation
Fisher’s Z transformation
Non- Parametric tests
Wilcoxon- Mann- Whitney test
Run- test
Median- test
Point estimate of a parameter
Concept of bias and standard error of an estimate
Tests of significance based on Chi- square
Testing for the mean and variance of Univarite
Sample tests

Sample Surveys
Concept of population and sampling
Non-Sampling error
Simple random sampling
Stratified random sampling
Census and sample survey
Sample selection
Sample size
Systematic sampling

Linear programming
Graphical and simplex method of solving LPP
Transportation Problems
Assignment problems
Elementary theory of convex sets
General linear programming problems (LPP)

Introduction to computers
Basic set of an electronic computer
Binary number system
Machine
Language
Basic commands to operate a computer
Ms- Office Tools
CPU
Input devices
Output devices
Need of computers in statistics

Demographic Methods
Simple aggregative methods
Weighted average methods
Lasperey’s, Passche’s and Fisher’s index numbers
Sources of demographic data
Measurement of mortality
Measurement of fertility
Economic statistics
Index number

Time series Analysis
Economic time series
General theory of control charts
Process control chars for variables (X, R and S Charts)
Parameter models
Parameter space
Point Estimation
Interval estimation
Concepts of confidence interval and confidence coefficient
Control chart for attributes (np, p and c charts)
Hypothesis
Statistical hypothesis
Simple and composite hypothesis
Statistical hypothesis
Null and alternative hypothesis

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Answered By StudyChaCha Member