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Statistics: A Review

January 16, 2018 @ 8:30 am - 5:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

A one-day, intensive review of common statistical methods of design, measurement analysis and presentation of scientific investigations.  The workshop is designed for any scholar engaged in quantitative research. Statistics: A Review discusses answers to the following questions:

  • What should we measure?
  • What are the main design types; what are the comparative advantages of each?
  • How are the sample sizes determined?
  • What are the appropriate inference procedures?
  • What do standard error, p-value and confidence level mean?
  • What are some dangers we need to avoid?
  • How should we display our results?
  • What are the statistical software options?


To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:


9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440


Consulting for Statistics, Computing and Analytics Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070


January 16, 2018
8:30 am - 5:00 pm
Event Category:
Event Tags:


Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States


This workshop presumes at least one course in statistics, even if several years ago.
Class size
36 participants
U-M Affiliated Fee
Not U-M Affiliated Fee
Kerby Shedden is a professor in the department of Statistics at the University of Michigan; He has extensive experience as a statistical consultant in studies both on and off campus. Brenda Gillespie is the Associate Director of CSCAR and Assistant professor in the Department of Biostatistics at the University of Michigan. She has extensive experience as a statistical consultant, and specializes in ANOVA, survival analysis, design of experiments, and clinical trials. Corey Powell is a Statistical Consultant at CSCAR.