|
Applying Statistical Methods
|
| Intended Audience |
People interested in
or responsible for creating and monitoring performance data using control
charts and other statistical methods. |
| Description |
The course objectives are to teach the participants how to
construct, interpret, and apply attribute and variable control charts.
The desired outcome is for course participants to return to their work
areas and be able to identify differences between special and common
causes of variation. Shewbart control charts are covered in greater
depth than in "Data collection & Interpretation." Actual
calculations are practiced. Course teaches how to calculate control
chart limits.
- Use Quality Performance tools (statistical tools) to
continuously improve processes
- Select an appropriate statistical method (control chart) based
on the problem statement
- Calculate the mean and standard deviation of a data set, and
construct and use graphical comparisons of data sets (boxplots)
- Create: X, mR chart; X-Bar, R chart; P-chart; C-chart
- State the principles of survey design and analysis
- State the issues involved in measurement error and its effect on
decision making
- Calculate and interpret capability statistics
|
| Prerequisites |
Data Collection
& Interpretation |
| Pre-Work Required |
None |
| Suggested
Class Size |
Minimum 12
Maximum 20 |
| Course Length |
16 hours |
|