Nadeem Shafique Butt

Course Outline

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.

Introduction to Statistics, Types of Data and Data presentation

Descriptive Statistics for Location and Dispersion, Measures for Shape and Height of Data, Simple Probability Concepts

Inferential Statistics, Steps for Inferential Statistics, Parametric and Non–Parametric Inference

Testing of Hypothesis Parametric Inference

Inference for Single and Two Means

Inference for more than two Means, The Correlation Analysis

Inference for Categorical Variables (Contingency Table Analysis)

Regression Models for Normal Responses

Categorical Predictors in Normal Response Models

Diagnostics for Normal Response Regression Models

Regression Models for Categorical responses (Logistic and Probit Regression)

Regression Models for Count Responses (Poisson, Gamma and Negative Binomial Regression)

Analysis of Time Series Data; ARMA and ARIMA Models

Principal Component and Factor Analysis

Discriminant and Path Analysis


Assignments

Assignment 1

Assignment 2

Assignment 3

Assignment 4

Case Studies

Employee Database

Customer Database

breasks Database

Credit Cards

Bank Loan

MAINTENANCE

Project

Employee Satisfaction Survey

Books
David. S. Moore and George P. McCabe (2003), The  Practice of Statistics for Business & Economics 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