Statistical Inference
This course deals with the proper use of statistical tools for the analysis of management data. The course covers basic and advanced level statistical techniques. The core objective is to enable students to apply suitable statistical technique to accomplish the underlying objectives.
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Introduction to Statistics, Types of Data and Data presentation
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Inferential Statistics, Steps for Inferential Statistics, Parametric and Non�Parametric Inference
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Inference for Categorical Variables (Contingency Table Analysis)
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Regression Models for Categorical responses (Logistic Regression)
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Regression Models for Count Responses (Poisson, Gamma and Negative Binomial Regression)
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Analysis of Time Series Data; ARMA and ARIMA Models
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Principal Component and Factor Analysis
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Discriminant and Path Analysis
#Assignments
Case Studies
Project
Books
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David. S. Moore and George P. McCabe (2003), The Practice of Statistics for Business & Economics Freeman Publishers.
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Landau, Sabine. (2004) "A handbook of statistical analyses using SPSS", Chapman & Hall/CRC Press LLC
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Vijay G. (2002), Statistical Analysis with Excel, VJ Books.
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Wayne L. Winston (2007), Data Analysis and Business Modeling, Microsoft Press
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About
Nadeem Shafique Butt, Associate Professor of Biostatistics at King Abdulaziz University Also Visiting/Adjunct faculty member at University of the Punjab,
Phone:
Fax:
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SI
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