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Statistics: Procedures for Categorical and X-Y Data

Course Status:	Released	Courseware Features
Course Language:	English
Course Duration:	4 Hours
Deployment Options:	Online, Interactive CDs, Network, Downloads, Intranet

Audience

Business managers and prospective managers who need to be familiar with methods of data collection and analysis

Prerequisites

Basic math and algebra

Course Aim

To define categorical data, and introduce techniques for performing linear regression analysis

Learning Objectives

Distinguish between categorical and quantitative data. Explain the major methods for analyzing categorical data. Test categorical data for independence of variables. Test categorical data for homogeneity of variables. Make inferences based on the slope of a regression line. Perform regression using Microsoft Excel. Apply and use a prediction interval formula. Distinguish between a prediction interval and a confidence interval. Explain the consequences of violating the various regression assumptions.

Topics Covered

Categorical Data - Categorical versus quantitative data - Goodness of fit - A chi-square test of independence - A chi-square test of homogeneity The Linear Regression Model - Inferences for the slope - Regression via Excel - Hands-on: Interpreting Excel Regression Intervals - A prediction interval for Y given X - A C.I. for the mean of Y given X - Violation of regression assumptions Hands-on: Performing regression via Excel