Data Analysis and Modeling – BBA Pokhara University (PU) | Fourth Semester Syllabus

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Data Analysis and ModelingPokhara University (PU)
Data Analysis and Modeling – Syllabus
BBA (Bachelor of Business Administration)
For: Second Year | Fourth Semester
STT 102.3 | Credit Hours: 3

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.

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