Nadeem Shafique Butt

Course Outline

It is applied course in statistics that is designed to provide you with the concepts and methods of statistical analysis for decision making under uncertainties. This course is a combination of lectures and computer-based practice, joining theory firmly with practice. It introduces techniques for summarizing and presenting data, estimation, confidence intervals, hypothesis testing, modeling relationships and some multivariate techniques. The lectures focuses more on understanding of key concepts and statistical thinking, and less on formulas and calculations, which can now be done on statistical software.

Introduction to Quantitative Techniques for Decision Making
Descriptive Analysis for Qualitative  and Quantitative Data
Descriptive Analysis for Quantitative Data (Cont.)
Testing of Hypotheses One Sample Inference
Testing of Hypotheses, two samples Inference
Testing of Hypotheses, Paired samples Inference
Testing of Hypotheses, more than two samples inference
Comparing Groups Parametric and Non-Parametric Inference
Correlation and Regression Analysis
Multiple Linear Regression
Logstic Regression
Analysis of Categorical Data
Factor Analysis
Discriminent Analysis

Assignment 1
Assignment 2
Assignment 3
Assignment 4

Case Studies: Employee Database, Customer Database, breasks Database, Credit Cards, Comparing Groups, Bank Loan

Course Project: Employee's Motivation Survey

Recommended Books:
David. S. Moore and George P. McCabe (2003), Basics of  Practice Statistics, Freeman Publishers.
Landau, Sabine. (2004) "A handbook of statistical analyses using SPSS", Chapman & Hall/CRC Press LLC
Vijay G. (2002), Statistical Analysis with Excel, VJ Books.
Wayne L. Winston (2007), Data Analysis and Business Modeling, Microsoft Press.    Part1, Part2