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Course Overview

Many business decisions involve comparing groups for differences. For example, would men and women prefer different product features? In addition, relationships between variables may be looked at. Does product recognition relate to subsequent product purchase? This Intermediate Data Analysis course will introduce participants to the statistics behind these group differences and relationships. In addition, learn how to work with ratings, graphs and user-friendly reports of statistical results.

Course Outcomes

At the end of this course, participants will:

• Be able to compare two or more groups for differences
• Be able to understand relationships among variables
• Be able to work with rating data such as from rating surveys
• Be able to interpret visual displays of these differences and relationships
• Be able to generate user-friendly, understandable explanations of the results

Course Objectives

• To provide an understanding of two-group comparisons
• To provide an understanding of comparing more than two groups
• To provide an understanding of working with rating data
• To provide an understanding of relationships or associations among variables
• To provide an understanding of interpreting visual displays of differences and relationships
• To provide an understanding of drafting written explanations of statistical results

Agenda

Unit One â€“ Looking for Differences between Groups

• Two separate groups
• Two related groups
• Three or more groups

Unit Two â€“ Looking for Relationships

• Pairs of variables
• Clusters of variables
• Predicting one variable from one or more variables

Unit Three â€“ Looking at Ratings

• Tests of difference using ratings
• Tests of relationship using ratings

Unit Four â€“ Looking at How to Report the Results

• Visual displays
• How to draft the narrative
• How to engage your audience