Page 4 - DCOM203_DMGT204_QUANTITATIVE_TECHNIQUES_I

SYLLABUS
Quantitative Techniques – I

Objectives: To familiarize the student with the theoretical foundation of qualitative business research. To familiarize the
students with different statistical techniques used in business decisions.
Sr. No. Description
1. Statistics: Introduction, Importance, Scope and Limitations of Statistics
2. Classification, Tabulation and Presentation of Data: Geographical, Chronological, Qualitative and
Quantitative Classification, Formation of Frequency Distribution, Tabulation of Data, Types of Tables, Bar
Diagrams, Pie Diagrams, Pictograms and Cartograms.
3. Collection of Data: Primary and Secondary Data, Method of Collecting Data, Drafting the Questionnaire,
Sources of Secondary Data.
4. Measures of Central Tendency: Mean, Harmonic Mean, Geometric Mean, Median and Mode
5. Measures of Dispersion: Range, Mean deviation, Quartile deviation, Standard deviation, Coefficient of
variation
6. Correlation Analysis and Regression Analysis: Scatter Diagram, Karl Pearson’s, Rank Correlation, Regression
Equations – Deviation taken from Assumed mean and Arithmetic Mean, Least square method, Graphing
Regression Lines
7. Index Number: Methods of Constructing index Number – Laspeyres, Paasche, Bowley’s, Fisher and Marshall-
Edgeworth method, Chain base Index Number
8. Analysis of Time Series: Method of Semi-average, Moving average, Simple average, Ratio-to-trend method,
Ratio-to-Moving average Method
9. Probability and Expected value: Addition Theorem, Multiplicative Theorem
10. Probability Distribution: Binomial, Poisson and Normal Distribution