Even though various textbooks provide templates for statistical strategies, the nature of the analytical enterprise is not always intuitively clear. The type of analysis may be dictated by (and is a function of) various factors, including the types of measures (and scaling) used, the research design, and how tenable the statistical assumptions are given the technique of choice. In part, each of those technical facets may dramatically impact ones interpretation of the data. Statistical services offered include:

• Analysis ranging from simplest univariate statistics (e.g., t-test, one-way ANOVA, simple linear regression) up to the more complex multivariate designs (e.g., MANOVA, discriminant analysis, canonical correlation, etc.)
• Biostatistical methods (e.g., survival analysis)
• Marketing Research tools (e.g., correspondence analysis)
• Comprehensive testing of assumptions
• Assure that the proposed analysis corresponds to the nature of the research question (and the variable metrics)