MS-106 – QUANTITATIVE METHODS
[Max. Marks: 85] [Min. Marks: 34]
Course Objectives – The basic aim of this course is to impart knowledge of basic statistical tools and techniques with emphasis on their application in business decision process and management.
UNIT – I
• Statistics – A brief introduction, importance of statistics in business decisions.
• Measurement of central Tendency – Mathematical – simple and weighted positional mode and median.UNIT – II
• Measure of variations and skew ness.
• Measures of Dispersion – Mean dispersion and standard dispersion
• Simple correlation – Karl Pearson’s Coefficient of Correlation and Spearman’s Coefficient of Correlation.UNIT – III
• Simple Regression – Regression equation. Regression coefficient.
• Application of regression line for forecasting sales.
• Growth Rates.
• Introduction to the time series and its application.UNIT – IV
• Probability Theory and Probability Distributions: Concepts, additive, multiplicative, conditional probability rules, Bayer’s Theorem, Binomial, Poisson and Normal distributions- their characteristics and applications
• Time Series: Time Series and its Components, Analysis, Models of Time Series, Methods of Studying Components of Time Series: Measurement of trend (moving average, exponential smoothing and least squares method), Measurement of seasonal variations (simple average, trend, and moving average method) Measurement of cyclic variations (residual methodUNIT-V
• Test of Hypothesis
Testing of Hypothesis: Hypothesis testing and statistical influence (Introduction to methodology and Types of errors) introduction to sample tests for univariate and bivariate analysis using normal distribution, f-test, and t-test, z-test and chi square test. Statistical Decision Theory: Decision making process, Decisions under Uncertainty and Decisions under Risk
Internal Assessment: Total Marks 15
Attendance 5 Marks
Test 5 Marks
Seminars/Cases analysis/Presentations: 5 Marks
Guidelines for Case analysis / presentations: - Students should be given case studies as assignment and asked to present the same in the class for discussions, or seminars may be arranged on current issues related to the subject and marks be given on the basis of students’ performance. (Cases or Seminars can be given on individual basis or on group basis)
REFERENCE BOOKS
Statistic for Management Levin RI
Quantitative Techniques in Management N.D.Vohra
(The McGraw-Hill)
Statistics for Modern Business Decision Lapin & Lawrance
Business Statistics Gupta SP
Modern Elementary Statistics Friend John I
Fundamentals of Statistics Gupta G & Dasgupta
Quantitative Techniques Chandan JS
Statistics for Business & Economics Chandan JS
Introduction to Statistical Methods Gupta V
Quantitative Techniques CR Kothari
Mathematics for Management and J.K. Sharma, New Delhi,
Computer Applications Galgotia Publication
• Business mathematics and statistics R. K. Ghosh and S. Saha,
New Central BookAgency 9th Ed.
• Business Mathematics and Quantitative Saha, Calcutta,
Techniques”, Central Book Agency
• Statistics for Management Richard I. Levin and D.S. Rubin :
Prentice Hall of India, 2000
[Max. Marks: 85] [Min. Marks: 34]
Course Objectives – The basic aim of this course is to impart knowledge of basic statistical tools and techniques with emphasis on their application in business decision process and management.
UNIT – I
• Statistics – A brief introduction, importance of statistics in business decisions.
• Measurement of central Tendency – Mathematical – simple and weighted positional mode and median.UNIT – II
• Measure of variations and skew ness.
• Measures of Dispersion – Mean dispersion and standard dispersion
• Simple correlation – Karl Pearson’s Coefficient of Correlation and Spearman’s Coefficient of Correlation.UNIT – III
• Simple Regression – Regression equation. Regression coefficient.
• Application of regression line for forecasting sales.
• Growth Rates.
• Introduction to the time series and its application.UNIT – IV
• Probability Theory and Probability Distributions: Concepts, additive, multiplicative, conditional probability rules, Bayer’s Theorem, Binomial, Poisson and Normal distributions- their characteristics and applications
• Time Series: Time Series and its Components, Analysis, Models of Time Series, Methods of Studying Components of Time Series: Measurement of trend (moving average, exponential smoothing and least squares method), Measurement of seasonal variations (simple average, trend, and moving average method) Measurement of cyclic variations (residual methodUNIT-V
• Test of Hypothesis
Testing of Hypothesis: Hypothesis testing and statistical influence (Introduction to methodology and Types of errors) introduction to sample tests for univariate and bivariate analysis using normal distribution, f-test, and t-test, z-test and chi square test. Statistical Decision Theory: Decision making process, Decisions under Uncertainty and Decisions under Risk
Internal Assessment: Total Marks 15
Attendance 5 Marks
Test 5 Marks
Seminars/Cases analysis/Presentations: 5 Marks
Guidelines for Case analysis / presentations: - Students should be given case studies as assignment and asked to present the same in the class for discussions, or seminars may be arranged on current issues related to the subject and marks be given on the basis of students’ performance. (Cases or Seminars can be given on individual basis or on group basis)
REFERENCE BOOKS
Statistic for Management Levin RI
Quantitative Techniques in Management N.D.Vohra
(The McGraw-Hill)
Statistics for Modern Business Decision Lapin & Lawrance
Business Statistics Gupta SP
Modern Elementary Statistics Friend John I
Fundamentals of Statistics Gupta G & Dasgupta
Quantitative Techniques Chandan JS
Statistics for Business & Economics Chandan JS
Introduction to Statistical Methods Gupta V
Quantitative Techniques CR Kothari
Mathematics for Management and J.K. Sharma, New Delhi,
Computer Applications Galgotia Publication
• Business mathematics and statistics R. K. Ghosh and S. Saha,
New Central BookAgency 9th Ed.
• Business Mathematics and Quantitative Saha, Calcutta,
Techniques”, Central Book Agency
• Statistics for Management Richard I. Levin and D.S. Rubin :
Prentice Hall of India, 2000
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