Statistical Consulting Center

The Statistical Consulting Center is maintained by the Department of Statistics at Western Michigan University. It was established to assist faculty and staff needing statistical help in journal submissions and grant preparation. Graduate students with permission from the Graduate College may also use the center.

Appointments

Contact Dr. Joshua Naranjo.

Center location: 3379 Rood Hall

Consulting fees

Free Friday

Free consulting on Friday afternoons from 1 to 3 p.m. during the fall and spring semesters. Appointments are required.

Fee-based consulting

For statistical help beyond the scope of Free Friday, fee-based consulting is available. These fees depend on type of required help, statistical complexity and whether faculty or student time is required. Consultant fees may be included as line item on grant proposal budgets. Fees are generally waived when the consultant is a co-author or co-PI.

Areas of expertise

The center works closely with the Department of Statistics. A description of an incoming project is often emailed to the faculty who in turn may offer their consulting services or help in the preparation of a grant proposal. Faculty may also offer short courses through the center. The following are our areas of expertise:

  • Analysis of variance
  • Basic statistical methods
  • Bootstrap
  • Categorical analysis
  • Classification
  • Descriptive procedures
  • Design of experiments
  • Development of statistical software
  • Discriminant analysis
  • Environmental statistics
  • Factor analysis
  • Industrial design of experiments
  • Linear regression
  • Logistic regression
  • Meta analysis
  • Multiple comparison procedures
  • Monte Carlo procedures
  • Multivariate methods
  • Nonlinear models
  • Nonparametric procedures
  • Principal components
  • Propensity analysis
  • Resampling techniques
  • Response surface methods
  • Robust statistical procedures
  • Statistical computing
  • Statistical graphic procedures
  • Structural equation modeling
  • Survival analysis
  • Taguchi Methods
  • Time series