4.0 Six Sigma

Data Collection and Sampling (S010)


Description
This course provides instruction on data collection principles and planning. Topics include;

- Review: Basic statistics & analytical methods
- Attributes of successful data collection
- Data collection checklist
- Sources of historic data
- Data collection pilot
- What is a sample?
- Sampling and non-sampling error
- Sampling methods
- Alpha and beta risk considerations
- Sample size determination
- Parametric and nonparametric tests

Estimated effort: 2 1/2 hours

BEFORE YOU START THE COURSE: Download the files listed on this page (see below). They can also be downloaded at any time during the training from the files TAB located top right of the training screen. You may wish to print the "Presentation Workbook" which is in a 3-slide per page format with sections for taking notes. You may be prompted at various times during the presentation to pause the recording and complete a brief assignment or answer questions. There is also a resource page that contains links to other sites and tools that will be referenced during your training.

COURSE ELEMENTS: Your course includes a main presentation (video), supplemental articles and, if applicable, links to supplemental recommended resources. Note: Your course test is only based on the content provided in the main presentation (video).
Content
  • RPM-S010-Data Collection and Sampling.wmv
  • Sampling Methods - Statistics Learning Centre
  • Methods of collecting survey data - Elon Poll
  • 7 tips for good survey questions - Elon Poll
  • Online Sample Size Calculators - University of British Columbia, Canada
  • Quick Quiz-S010
Completion rules
  • All units must be completed