Data Analysis and Modeling

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STT 102.3 (Credit hours 3)
BBA, Second Year, Fourth Semester

Course Objectives:
This course aims to acquaint with major statistical and quantitative tools used in modeling and analysis
of business decision involving alternative choices.

Course Contents:

1.Relationships 7 hours
Scatterplot, least square regression - assumptions, statistical model, correlation - statistical model and inference, the question of causation, prediction and confidence intervals for estimating regression parameters

2.Multiple Regressions 8 hours
multiple regression analysis, selection of predictor variables, multi-colinearity, standard error of estimate, prediction and confidence intervals, model building, curvilinear models, qualitative variables, stepwise regression, residual analysis.

3.Time Series Analysis 5 hours
Index number, decomposition of a time series

4.Forecasting 6 hours
Choosing the appropriate forecasting technique, moving average, exponential smoothing, forecasting using time series model

5.Linear Programming 15 hours
Problem formulation, graphical solution, special cases, some standard LP models with application in business, sensitivity analysis and duality

6.Network Models 7 hours
Transporation and assignment problems, PERT and CPM.


Text Books
1.Mark L. Berenson, David M. Levine and Timothy K.Krehbiel: Basic Business Statistics (Ninth edition), Pearson
2.G D Eppen, F J Gould and CP Schmidt: Introductory Management Science, Prentice- Hall

Reference Books
1. Levin, Richard I., David S. Rubin, Joel P. Stinson and Everest S. Gardner (Jr): Quantitative Approaches to Management, McGraw-Hill.
2. Siegel, Andrew F.: Practical Business Statistics, Irwin.
3. Taha, Hamady, A.: Operations Research. An Introduction, McMillan.