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Business Statistics

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Paper Code : 412507 ——            Credits : 4
Paper Title : Business Statistics

Course Content

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Chapter-1 Introduction to Statistics
Definition, Concepts, Characteristics, Uses and Importance, Theory, Methods: Descriptive, Inductive Statistics, Relation of Statistics with other Discipline.

Chapter-2 Collection of Business Data
Primary data, secondary data, experimental, observational and empirical data, panel data and their orientation. Census, surveys and conventional types of other inquiries, units population identification-Methods of collecting primary data framing of questionnaire-Presentation and collection of Second data.

Chapter-3 Processing of Business Data
Classification, types of classification, array formation, types of variables and attributes, Construction of Frequency Distribution: Frequency distribution- Frequency distribution of variables and Frequency distribution of Attributes-Absolute Frequency distribution, Cumulative Frequency distribution and Relative and cumulative Relative Frequency Distribution, Tabulation, Parts of table, Types of table, Construction of table from data statements.

Chapter-4 Presentation of Statistical Data
Graphical presentation, histogram, Range curve, Band curve, Simple, Multiple, Component and Paired Bar Diagram, Pie-Diagram, Lorenz Curve, Histogram, Frequency Polygon, Frequency Curves and Ogives.

Chapter-5 Measures of Central Tdendency
Concept of Central tendency-Common measures: Mean, Median, Mode-Their computation both in Algebraic and Graphic methods. Their uses and comparison of the common measures-Specific measures, Geometric mean, Harmonic mean, Quadratic mean-Relationship among the common measures Desirable properties of a good measure.

Chapter-6 Measures of Dispersion
Absolute Measures: Mean Deviation, Range, Standard Deviation, Quartile Deviation, Percentile, Deciles, Relative Measures

Chapter-7 Correlation
Simple Correlation-Positive Correlation-Negative correlation-Karl Pearson’s Co-efficient of Correlation-Co-efficient of Determination-Use of probable error in interpretation of Correlation Co-efficient-Rank Correlation Co-efficient Simple Correlation, Co-efficient from Bivariate frequency distribution-Multiple correlation, partial correlatio

Chapter-8 Regression
Linear Bivariate Regression Model-Coefficient of Regression-fitting of Regression lines-fitting of Regression equations by use of correlation co-efficient and standard deviations-accuracy and reliability of regression estimates-Fitting of multivariate regression model, its uses and interpretations.

Chapter-9 Probability
Concepts, Meaning, Classical and Frequency definitions-Use of Sets and Combination in probability calculations-Total and Multiplication theorems Marginal and Joint Probability, Independent, Dependent-Mutually Exclusive events Conditional probability-Bays’ theorem and its uses.

Chapter-10 Sampling and Socio
-Economic Surveys: Concepts of Census and Sample survey Advantages of Sampling over Census-Methods of random selection: Purposive sampling-Simple Random sampling-Cluster Sampling-Discovery Sampling-Monetary Unit Sampling-Steps of conducting Socio-economic Surveys-Sampling and Non sampling errors

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