Statistics is an important subject for students of commerce and Management.
We provide quality coaching for the course like B.Com(Prog./Hons), BBA, BBE, BMS, MBA etc.
Covering the following topics:
Measures of Central Value; Mean , Median and Mode. Measures of Dispersion: Absolute and Relative measures of dispersion - Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation, Moments, Skewness, Kurtosis.
Correlation Analysis: Meaning and significance. Correlation and Causation, Types of correlation. Methods of studying simple correlation - Scatter diagram, Karl Pearson’s coefficient of correlation, Spearman’s Rank correlation coefficient.
Regression Analysis: Meaning and significance, Regression vs. Correlation. Linear Regression and Standard error of estimate.
Analysis of Time Series: Meaning and significance. Utility, Components of time series, Models (Additive and Multiplicative), Measurement of trend: Method of least squares, Parabolic trend and logarithmic trend.
Index Numbers: Meaning and significance, problems in construction of index numbers, methods of constructing index numbers-weighted and unweighted, Test of adequacy of index numbers, chain index numbers, base shifting, splicing and deflating index number.
Probability: Meaning and need. Theorems of addition and multiplication. Conditional probability. Bayes’ theorem, Random Variable- discrete and continuous.
Probability Distribution: Meaning, characteristics (Expectation and variance) of Binomial, Poisson Negative Binomial, exponential and Normal distribution. Central limit theorem.
Introduction to testing of Hypothesis: Concept; Level of Significance; Confidence interval; Process of testing; Type I and Type II error, Test of hypothesis concerning Mean; Z test & t test concerning mean.
Text Books:
1. Gerald Keller : Managerial Statistics 9th Edition.
2. Richard Levin & David Rubin : Statistics for management, Prentice Hall.
3. Anderson, Sweeny & Williams: Statistics for Business and Economics, South Western.
4. Berenson and Levine: Basic Business Statistics: Concepts and Application
5. Andrew F. Siegel: Practical Business Statistics
6. M.D. Spiegel: Schaum Series Theory and Problems of Statistics
7. N.D. Vohra: Business Statistics
8. S.P. Gupta Archana Gupta: Statistical Methods
9. S.C. Gupta: Fundamentals of Statistics
10. J.K. Thukral: Business Statics
11. A.M. Goon, M.K. Gupta and B. Dasgupta: Fundamentals of Statistics,
12. S.C. Gupta and V.K. Kapoor: Fundamentals of Mathematical Statistics
13. A.M. Mood, F.A. Graybill and D.C. Boes (2007): Introduction to the Theory of Statistics,
14. Fredrick E. Croxton, Dudley J.Cowden, and S. Klein (1973): Applied General Statistics
We provide quality coaching for the course like B.Com(Prog./Hons), BBA, BBE, BMS, MBA etc.
Covering the following topics:
Measures of Central Value; Mean , Median and Mode. Measures of Dispersion: Absolute and Relative measures of dispersion - Range, Quartile Deviation, Mean Deviation, Standard Deviation, Coefficient of Variation, Moments, Skewness, Kurtosis.
Correlation Analysis: Meaning and significance. Correlation and Causation, Types of correlation. Methods of studying simple correlation - Scatter diagram, Karl Pearson’s coefficient of correlation, Spearman’s Rank correlation coefficient.
Regression Analysis: Meaning and significance, Regression vs. Correlation. Linear Regression and Standard error of estimate.
Analysis of Time Series: Meaning and significance. Utility, Components of time series, Models (Additive and Multiplicative), Measurement of trend: Method of least squares, Parabolic trend and logarithmic trend.
Index Numbers: Meaning and significance, problems in construction of index numbers, methods of constructing index numbers-weighted and unweighted, Test of adequacy of index numbers, chain index numbers, base shifting, splicing and deflating index number.
Probability: Meaning and need. Theorems of addition and multiplication. Conditional probability. Bayes’ theorem, Random Variable- discrete and continuous.
Probability Distribution: Meaning, characteristics (Expectation and variance) of Binomial, Poisson Negative Binomial, exponential and Normal distribution. Central limit theorem.
Introduction to testing of Hypothesis: Concept; Level of Significance; Confidence interval; Process of testing; Type I and Type II error, Test of hypothesis concerning Mean; Z test & t test concerning mean.
Text Books:
1. Gerald Keller : Managerial Statistics 9th Edition.
2. Richard Levin & David Rubin : Statistics for management, Prentice Hall.
3. Anderson, Sweeny & Williams: Statistics for Business and Economics, South Western.
4. Berenson and Levine: Basic Business Statistics: Concepts and Application
5. Andrew F. Siegel: Practical Business Statistics
6. M.D. Spiegel: Schaum Series Theory and Problems of Statistics
7. N.D. Vohra: Business Statistics
8. S.P. Gupta Archana Gupta: Statistical Methods
9. S.C. Gupta: Fundamentals of Statistics
10. J.K. Thukral: Business Statics
11. A.M. Goon, M.K. Gupta and B. Dasgupta: Fundamentals of Statistics,
12. S.C. Gupta and V.K. Kapoor: Fundamentals of Mathematical Statistics
13. A.M. Mood, F.A. Graybill and D.C. Boes (2007): Introduction to the Theory of Statistics,
14. Fredrick E. Croxton, Dudley J.Cowden, and S. Klein (1973): Applied General Statistics
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