Intermediate Data Analysis

Many of your business decisions involve comparing groups for differences. For example, would men and women prefer different product features? In addition, you may look at relationships between variables. Does product recognition relate to subsequent product purchase? This Intermediate Data Analysis course will introduce you to the statistics behind these group differences and relationships. In addition, you’ll learn how to work with ratings, graphs and user-friendly reports of statistical results. Agenda Unit 1 Looking for Differences between Groups -Two separate groups -Two related groups -Three or more groups Unit 2 Looking for Relationships -Pairs of variables -Clusters of variables -Predicting one variable from one or more variables Unit 3 Looking at Ratings -Tests of difference using ratings -Tests of relationship using ratings Unit 4 Looking at How to Report the Results -Visual displays -How to draft the narrative -How to engage your audience