Statistical Analysis for Process Improvement

This powerful four-day course instructs in the development of mathematical models to predict outcomes and understand key factors affecting our processes. Participants will learn to compare groups in order to determine whether they are statistically similar or not. Knowledge of basic algebra is helpful. Note: computers will be used in class to apply learned techniques. Please bring a laptop if possible.

Seminar Content

Characterizing a single process

• Estimation of a mean, variance and proportion
• Detecting outliers
• Confidence intervals for the estimates
• Type I and II errors
• Hypothesis testing for the mean, variance and proportion
• Paired data and the paired t test

Comparison of two processes

• Testing for equal means
• Testing for equal variances
• Testing for equal proportions

Comparison of multiple processes

• ANOVA for comparing means
• Confidence intervals for multiple comparisons

Describing the relationship between two variables

• Correlation
• Simple linear regression
• R squared
• Residual analysis
• Confidence and prediction intervals

Predicting a response using several variables

• Multiple regression
• Testing for significant explanatory variables
• Model selection

To request a quote, contact:
Elena O'Connor, On-site Programs
Phone: (734) 487-4926