University of Minnesota

School of Statistics' home page.

Statistical Consulting Service

The Statistical Consulting Service of the School of Statistics provides statistical support to improve research in all areas at the University of Minnesota.

We can help you:

  • design experiments and surveys
  • select and perform appropriate analyses
  • interpret results
  • write about statistical methods and results

We help with:

  • grant proposals
  • journal articles
  • student theses
  • responses to reviewer comments

We listen to your scientific needs and work with you to translate them into statistical questions and find solutions that are reasonable and understandable. We have worked on thousands of projects with University researchers, including everything from questions that can be answered on the spot to in-depth research projects that take months or years of collaboration, and we look forward to working with you.

The Statistical Consulting Service is a fee-for-service organization within the School of Statistics in the College of Liberal Arts at the University of Minnesota.

For more information about locations, rates, and making an appointment, click here.

What does a consultation look like?

A first meeting usually consists of a lot of listening; we want to be sure we understand your specific situation before making any suggestions. After that, it varies depending on your needs.

Some researchers prefer to just get advice and guidance; two or three meetings may be sufficient. Others prefer in-person working sessions, where we can provide more in-depth assistance. Others prefer that we do a full analysis and written report. Still others invite one of our staff consultants to contribute their expertise as a full collaborator on their research team.

Our consultants include both PhD level staff and faculty and PhD students from the School of Statistics with special training in statistical consulting. Our student consultants meet regularly with faculty and staff to review cases and get assistance on difficult problems.