Statistical analysis in practice
This module is for you who is familiar with the software program SAS JMP and the statistical tools in Six Sigma, but need to brush up your knowledge. You might have used SAS JMP previously and worked with Six Sigma and applied statistics, but cannot quite remember all the fancy statistical analysis or features available in SAS JMP. The module focuses on Chapter 7 and Chapter 9 in the book Visual Six Sigma – Making data analysis lean containing two Six Sigma cases where you get to use many different statistical tools and JMP features.
Target Group for SAS JMP recap
This module is intended for people who want a refreshing knowledge within software program JMP from SAS and the statistical tools in Six Sigma. Prerequisite for the course is that you have previously worked with SAS JMP and statistics, but just need a refresher of the various tools and functions.
You have previously participated in statistical courses and/or have taken ‘Statistical process control (SPC), MSA and capability 1, 2, and 3’ as well as ‘Data Driven Cause Analysis and Design of Experiments, DoE 1, 2, 3’. Find them under Storms course overview here.
What will you learn?
- you will refresh your knowledge about Six Sigma and applied statistics
- you will better be able to navigate the various menus and functions in SAS JMP
- you will be better at visually present results from your statistical analysis so they are easier to understand
Content in bullets
On the course, we review two cases from the book Visual Six Sigma – Making data analysis lean
- Improving the quality of anodized part
- Improving a polymer manufacturing process
Contact Storm – House of Six Sigma today
Do you want more information or have questions please feel free to contact us at +45 70207141 or send your questions to info@storm.dk