Sem-i Qt Syllabus

QUANTITATIVE TECHNIQUES Syllabus for Marketing and Finance – First Semester The objective of the course is to make the students familiar with basic statistics. The course assumes no prior knowledge of statistics; but it requires that the students have a suitable knowledge of mathematics (+2 levels). Sl. 1. 2.

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Topic Area Introduction to Statistics What is Statistics? Is Statistics a science? Usage of statistics in Business, Commerce, Agriculture, Sciences etc. Collection and Presentation of Data Introduction to Data, Primary Data and Secondary Data, Collection of Data, Scrutiny of data, Frequency and non-frequency data, Textual and Tabular presentation of data, Diagrammatic Representation of Data Frequency Distribution Summarization of Data, Attribute and Variable, Frequency distribution of an attribute / variable, Discrete and continuous variables, Graphical representation of frequency distribution, Ogive Measures of Central Tendency Descriptive measures of statistics, Central Tendency, Arithmetic Mean, Geometric Mean, Harmonic Mean, Median and Mode, Comparison of the various measures Measures of Dispersion, Skewness and Kurtosis Meaning of Dispersion, Range, Mean Deviation, Standard Deviation, Quartile Deviation, Measures of Relative Dispersion, Skewness Measures, Kurtosis Measures, Comparison of the various measures Elements of Probability Theory Meaning of probability, notations, definitions of probability, Theorems on probability, Conditional Probability, Independence of events, Random Variables – Expectation and Variance, Law of Large numbers Univariate Theoretical Distribution - I PMF and PDF, The Rectangular Distribution, The Binomial Distribution, The Poisson Distribution, Properties of the distribution, Relation between the distributions Univariate Theoretical Distribution - II The Normal Distribution, Normal Distribution as a Limiting form of Binomial and Poisson Distribution, Importance of Normal Distribution, Using the Normal tables Correlation and Simple Regression Bivariate Data, Scatter Diagram, Correlation, Properties of Correlation Coefficient, Rank Correlation, Simple Regression, Fitting of Regression Lines, Why two lines of regression, Relation between regression and Correlation, Introduction to Advanced Topics Introduction to Sampling, Basic Principles of Statistical Inference, Testing of Hypothesis, NonParametric Tests

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Students should note the following: The Class Hours are indicative in nature and may be extended or decreased depending on the Academic Calendar. PowerPoint Presentation and / or Handout’s may be provided for some of the topics. Evaluation would be done through Class Test, Mid Semester Exams and Final Exams. Basic References:

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N.G. Das – Statistical Methods, Kolkata, M. Das & Co A.M. Gun, M.K. Dasgupta and B. Dasgupta - Fundamentals of Statistics (Vol. I), Kolkata World Press M.R. Spiegel and L.J. Stephens - Statistics, Schaum’s Outline [Any good book on statistics which covers the syllabus can also be used]