Data Based Decisions and MSA
Data quality must be behind any databased decision. Before we can use data in everyday life, we must first and foremost ensure that we can actually rely on the data we use and communicate from. This course gives you a comprehensive insight into how to ensure that the data you are working with is valid and can be trusted. We learn this through the MSA (Measurement System Analysis) method, as we look at discrete and continuous data. In addition, the course offers statistical theory and measurements behind sampling and confidence intervals. All in all, a course that makes you stronger in taking data-based decisions based on data with high data quality.
Target group for Data Based Decisions
The course is for you who wish to test the validity of the data being processed for daily purposes.
This course is relevant if you want to participate in an applied statistics course or a Six Sigma Green Belt or Black Belt education, but do not have the necessary statistical Foundation.
This course is a prerequisite for participating in the applied statistics courses unless you are very familiar with the content of this course and can demonstrate previous experience.
What will you learn?
After participating in this course, you will be able to:
- Calculate sampling confidence intervals to ensure enough sample sizes.
- Understand probability and probability distribution.
- Identify outliers and divergent data point, which can lead to wrong analysis and conclusions.
- Understand and analyze variance within processes.
- Plan and conduct a MSA (Measurement System Analysis) and determine if data is valid.
- Both with continuous and discrete data.
Content in bullets
- Sampling confidence interval
- Mean
- Standard deviation
- Error rate
- Probability and probability distribution
- Measurement System Analysis (MSA)
- Discrete data
- Continuous data
- Gauge R&R
- Repreducibility
- Repeatability
Note
You should be aware that the course requires that you have participated on Intro to statistics and SAS JMP/Minitab, if you have not previously worked with the statistical programs SAS JMP and Minitab. We recommend using SAS JMP, but if you or your company already work in Minitab, we will, of course, support this choice.
Before the start of the course, you need to have either SAS JMP or Minitab downloaded on your own PC.
Extended curriculum
When you have completed this module, you will be able to participate in a number of statistical courses with the focus on applied statistical tools you can use on your own. The next level statistical modules, which are also a part of our Six Sigma Green, and Black Belt educations, are the following:
If you want to devote more focus on the development of performance and processes, you can get inspiration from methodical courses such as, Process and Risk Management or Analyse and Design Processes.
Furthermore, you have the opportunity to continue your education as a Six Sigma Green Belt or Black Belt, and become more competent and able to optimize, lead and develop processes.