Working in small groups, KPU students will tackle a question designed by you and the students, conducting statistical analysis with a large data set(s). Generally, students will use publicly available data sets of environmental, economic, public health or other data, but the partnering organization can provide data if you prefer.

Their methodology will include descriptive (means, variances, graphics such as boxplots of variability, etc.) and inferential statistical analyses including correlation and t-tests to identify meaningful trends and patterns in the data and test hypotheses. Example projects include:

• cleaning up a messy or noisy data set for basic descriptive analysis and graphs
• generating visualizations and basic insights into data generated by the business

Students have specialties in Psychology, and the topics they can delve into vary widely.

As a partnering organization, you'll provide the students with a central question that you face, or a statement for which you'd like to find supportive data, that they'll use their developing data management skills and statistical tools to investigate testable hypothesis. Outcomes can be used to inform your decision-making, or to lend weight to marketing materials.