Business Statistics

Course Code: BBA 215

Credit Hour: 3

Course Group: Core Courses

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Introduction to Statistics: Definitions-Characteristics-Statistical Methods-Scope-Importance-Limitations of Statistics.

Collection and Presentation of Data: Data Sources - Methods of Collecting Data-Designing Questionnaire - Arranging Data Using the Data Array and the Frequency Distribution - Construction of a Frequency Distribution - Principles of Classification - Tabulation of Data-Graphical Representation for Quantitative and Qualitative Data (Histogram, Ogive, Pie-chart, Bar Diagram and Frequency Polygon etc.).

Measures of Central Tendency: Computation-Application - Advantages and Disadvantages of Different Measures of Central Tendency: Arithmetic Mean, Geometric Mean, Median, Mode.

Measures of Dispersion: Definition - Importance and Application of Different Measures of Dispersion: Range, Quartiles, Percentiles, Interquartile Range, Standard Deviation, Variance, And Coefficient of Variation.

Correlation and Regression Analysis: Meaning - Coefficient of Correlation - Limitations of Correlation - Measures of Correlation and Auto-correlation - Definition of Regression - Scatter Diagram-Method of Least Square-Fitting Regression Line - Estimating with Regression Line - Standard Error of Estimate.

Business Forecasting and Time Series Analysis: Introduction and Definition-Steps in Forecasting - Methods of Forecasting - Business Forecasting and Time Series Analysis - Components of Time Series - Straight Line Trend - Method of Least Squares - Method of Moving Averages - Measurement of Seasonal Variations.

Index Number: Index Number and Three Major Types: Price, Quantity and Value Index - Methods of Constructing Index Numbers: Unweighted Aggregates Index, Weighted Aggregates Index - Shifting Bases of Index Numbers - Issues in Constructing an Index Number.

Interpolation and Extrapolation: Definition – Assumptions - Different Methods of Interpolation and Extrapolation - Use and Importance of Interpolation and Extrapolation.

Skewness, Moments and Kurtosis: Concepts and Measures of Skewness, Moments and Kurtosis.

Probability: Meaning - Events in Probability law - Use of Combinations, Conditional Probability, Probability Functions, Mathematical Expectation, Theoretical Distribution, Binominal, Poisson, Exponential, and Normal Distributions with applications in real world situation.

Sampling and Sampling Distributions: Meaning – Purpose – Principles - Methods of Sampling and Sample Size Determination - Sampling Distribution.

Analysis of Variance: Meaning - Assumptions and Computation of Analysis of Variance - One Way Classification Model - Two Way Classification Model - Multiple Regression Analysis.

Statistical; Tests and test of Hypothesis: Chi-Square Tests - Normal Tests - T-test - F-test - Non-Parametric Tests - Type I and Type II Errors - One-Tailed and Two-Tailed Tests - Tests Concerning Large Samples - Tests about Population Mean.

Multiple Regression Analysis: Definition of Multiple Regression Analysis – Applications - Fitting Regression line - Testing the Regression Coefficients.

Statistical Quality Control: Control Charts - Control Limits - Accepting Sampling.

Official Statistics of Bangladesh: Sources – Characteristics – Limitations - Publishing Agencies - Statistical Publications: Contents and their Reliability-Accuracy and Uses.

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Text Books:

S. P. Gupta & M. P. Gupta, Business Statistics, (Latest edition), Sultan Chand and Sons; New Delhi, India. Anderson, Sweeney & Williams (2002): Statistics for Business and Economics, (Eighth edition), South- Western, a Division of Thompson Learning.

Reference Books:

Richard I. Levin, David & Rubin, Statistics for Management, (Latest edition), Prentice-Hall of India Private Limited, New Delhi, India. Newbold, P, Carlson, W.L. and Thorne, B.M. (2007), Statistics for Business and Economics, 6 th edition, Pearson Prentice Hall.