Statistical Tools for Root Cause Analysis
First Polymer Training Skillnet
Dates for 2014 to be advised.
795Inclusive of course manual, lunch, refreshments
'Free for eligible job-seekers'
Are you struggling to find the root cause? Learn how to use Excel and Minitab to make statistics accessible and usable. Summarise data using key statistics and important graphical methods. Make better decisions about whether a variable has an effect or not by conducting significance tests such as t tests or F tests. Spot relationships between variables where they exist and discount them where they don't by using regression analysis. Use ANOVA to identify which variables have an effect on critical to quality characteristics. Make better decisions.
The course will teach how statistics can be used to spot differences in data and contribute to tasks such as finding the root cause. It will be thought using either Minitab or Excel (to be agreed in advance) and the emphasis will be on what we can easily do.
Graphing techniques to spot differences
Identifying relationships using regression
t tests to see differences in means
F tests to see differences in variation
Proportion tests to see if proportions differ
Confidence intervals and how they impact sample size