Six Sigma Data Classification, Sampling, and Collection
Six Sigma Green Belt
| Intermediate
- 15 videos | 46m 52s
- Includes Assessment
- Earns a Badge
- CPE
One way of ensuring a successful business process improvement project is to measure key performance indicators (KPIs). And central to evaluating these KPIs is the identification, collection, and analysis of data related to process design and process control. This course covers the different data types relevant to Lean Six Sigma projects. It also explores data classification, as well as methods for sampling and collecting data as part of a Lean process improvement initiative. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
WHAT YOU WILL LEARN
-
Distinguish between data classifications
Distinguish between types of data
Determine whether to use discrete or continuous data, given a scenario
Determine the type of measurement scale being used, given an example
Identify principles of data sampling
Distinguish between sampling methods
Identify situations when you would use simple random sampling -
Identify situations when you would use stratified sampling
Identify characteristics of automated data collection
Identify data collection best practices
Distinguish between technologies used for data collection
Identify key considerations in creating a data collection plan
Distinguish between types of check sheets
Distinguish between data coding methods
IN THIS COURSE
-
33s
-
3m 10sDuring this video, you will learn how to distinguish between data classifications. FREE ACCESS
-
3. Continuous and Discrete Data2m 54sDiscover how to distinguish between types of data. FREE ACCESS
-
4. Using Continuous and Discrete Data5m 12sIn this video, you will learn how to determine whether to use discrete or continuous data, given a scenario. FREE ACCESS
-
5. Measurement Scales3m 19sDuring this video, you will learn how to determine the type of measurement scale being used from given examples. FREE ACCESS
-
6. Data Sampling2m 15sIn this video, you will learn how to identify principles of data sampling. FREE ACCESS
-
7. Sampling Methods2m 40sLearn how to distinguish between different sampling methods. FREE ACCESS
-
8. Simple Random Sampling2m 36sIn this video, you will learn how to identify situations when you would use simple random sampling. FREE ACCESS
-
9. Stratified Sampling3m 1sDuring this video, you will learn how to identify situations when you would use stratified sampling. FREE ACCESS
-
10. Data Collection in Six Sigma3m 59sDiscover how to identify characteristics of data collection that is automated. FREE ACCESS
-
11. Data Collection Best Practices3m 8sIn this video, you will learn how to identify best practices for data collection. FREE ACCESS
-
12. Information Technologies for Data Collection3m 30sDuring this video, you will learn how to distinguish between technologies used for data collection. FREE ACCESS
-
13. Data Collection Plan2m 18sIn this video, find out how to identify key considerations for creating a data collection plan. FREE ACCESS
-
14. Check Sheets4m 27sLearn how to distinguish between types of checklists. FREE ACCESS
-
15. Data Coding3m 51sIn this video, you will learn how to distinguish between data coding methods. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
