Statistical Inference

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 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

Comparing Groups

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