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#1
10th August 2014, 04:16 PM
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| Masters in Statistics Entrance Exam DU Syllabus
Hy I need the Masters in Statistics Entrance Exam DU Syllabus so please can you give me the syllabus?
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#2
11th August 2014, 09:01 AM
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| Re: Masters in Statistics Entrance Exam DU Syllabus
As you required Masters in Statistics Entrance Exam DU Syllabus so here I am providing you the syllabus. Syllabus of M.Sc in Statistics Entrance Exam Probability Conditional Probability Unconditional 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 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 Moment generating functions Probability generating functions Chesbyshev’s inequality and its application Distributions Uniform Distribution Binomial Distribution Poisson distribution Geometric Distribution Hypergeometric Distribution Continuous univariate distributions Normal Distribution Exponential Distribution Gamma and Beta Distribution Types of Data Qualitative and quantitative Data Discrete and Continuous data Primary and Secondary data Presentation of Data Construction Diagrammatic Graphical representation Bar diagram Ogive diagram Histogram Frequency Polygon Measures of central tendency Dispersion Relative Dispersion Absolute Dispersion 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 Regression lines Regression coefficient Principal of least squares Analysis of Categorical Data Sampling Random sample 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 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 Sample Surveys Concept of population and sampling Census and sample survey Sample selection Sample size NonSampling error Simple random sampling Stratified random sampling Systematic sampling Linear programming Elementary theory of convex sets General linear programming problems (LPP) Graphical and simplex method of solving LPP Transportation Problems Assignment problems Introduction to computers Basic set of an electronic computer CPU Input devices Output devices Need of computers in statistics Binary number system Machine Language Basic commands to operate a computer Ms Office Tools Demographic Methods Sources of demographic data Measurement of mortality Measurement of fertility Economic statistics Index number Simple aggregative methods Weighted average methods Lasperey’s, Passche’s and Fisher’s index numbers Time series Analysis Economic time series General theory of control charts Process control chars for variables (X, R and S Charts) Control chart for attributes (np, p and c charts) Hypothesis Statistical hypothesis Simple and composite hypothesis Statistical hypothesis Null and alternative hypothesis Parameter models Parameter space Point Estimation Interval estimation Concepts of confidence interval and confidence coefficient Contact Detail University of Delhi North Campus University Rd, New Delhi, DL 110007 011 2766 7725 Map [MAP]https://maps.google.co.in/maps?q=delhi+university&ll=28.689176,77.209918&spn =0.010635,0.020428&fb=1&gl=in&cid=4956203512595651 020&t=m&z=16&iwloc=A[/MAP] |
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#3
24th March 2015, 10:18 AM
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| Re: Masters in Statistics Entrance Exam DU Syllabus
I want to appear in M.Sc Statistics Entrance Exam of Delhi University . Will you please provide the Syllabus for preparation ?
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#4
24th March 2015, 10:19 AM
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| Re: Masters in Statistics Entrance Exam DU Syllabus
As you are looking for the Delhi University M.Sc Statistics Entrance Exam syllabus , here I am providing same for you . Probability Conditional Probability Unconditional Probability Event - Operation of Event, Independent Events, Mutually Exclusive Events Random Experiment Trial Baye’s theorem and its application Random Variables Moment generating functions Probability generating functions Chesbyshev’s inequality and its application 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 Sample Space - Discrete sample space, Continuous sample space Distributions Uniform Distribution Binomial Distribution Normal Distribution Exponential Distribution Gamma and Beta Distribution Poisson distribution Geometric Distribution Hyper-geometric Distribution Continuous univariate distributions Types of Data Qualitative and quantitative Data Discrete and Continuous data Dispersion Relative Dispersion Absolute Dispersion 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 Regression lines Regression coefficient Principal of least squares Analysis of Categorical Data Primary and Secondary data Presentation of Data Construction Diagrammatic Graphical representation Bar diagram Ogive diagram Histogram Frequency Polygon Measures of central tendency Sampling Random sample 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 Fisher’s Z transformation Non- Parametric tests Wilcoxon- Mann- Whitney test Run- test Median- test Sample tests Use of central limit theorem for testing and interval estimation Sample Surveys Concept of population and sampling Non-Sampling error Simple random sampling Stratified random sampling Systematic sampling Census and sample survey Sample selection Sample size 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 Need of computers in statistics Binary number system Machine Language Basic commands to operate a computer Ms- Office Tools CPU Input devices Output devices Demographic Methods Sources of demographic data Index number Simple aggregative methods Weighted average methods Lasperey’s, Passche’s and Fisher’s index numbers Measurement of mortality Measurement of fertility Economic statistics Time series Analysis Hypothesis Statistical hypothesis Simple and composite hypothesis Statistical hypothesis Null and alternative hypothesis Parameter models Parameter space Economic time series General theory of control charts Process control chars for variables (X, R and S Charts) Control chart for attributes (np, p and c charts) Point Estimation Interval estimation Concepts of confidence interval and confidence coefficient |
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