Using real data from your organization, students will identify trends and relationships inside large data sets, create presentation-style graphs and tables, and submit their recommendations and conclusions to decision-makers of the company (companies geared towards the biological sciences preferred).

Groups of students will use your data to:

• Analyze your data to spot trends and relationships among variables
• Create tables and graphs of summary statistics of key variables
• Create a summary of conclusions in a document that quickly and efficiently conveys information the company may find interesting or important
• Test whether different products or groups of individuals have different outcomes or preferences, and whether these differences are large enough to benefit from different strategies

Possible project examples include, but are not limited to:

• Analysis of sales data to determine the relationship between your products' or services' price and volume of sales
• Identifying patterns in sales or usage-based on seasonality
• Creating a summary of key customer demographic statistics
• Summarizing results of a customer survey to identify which characteristics are associated with different preferences