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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
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