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Putting Statistical Process Control (SPC) into Practice

Attribute Data

In SPC, it’s impor­tant to rec­og­nize that data comes in two types, attribute data and vari­able data. Learn the def­i­n­i­tion and typ­i­cal exam­ples of attribute data, its advan­tages, and its uses in sta­tis­ti­cal process control.

Course Videos

1

What Is SPC Statistical Process Control?

04:02

 2

SPC Step 1: Identify Critical Processes

04:08Members only

 3

SPC Step 2: Collect Data

03:44Members only

 4

How to Create a Sampling Plan

06:51Members only

 5

How to Set Sample Sizes

05:40Members only

 6

Understanding Measurement, Metrics, KPIs, and Data

07:10Members only

 7

Variable Data

05:14Members only

Current Video

Attribute Data

04:49Members only

9

Next VideoHow to Select Subgroups

06:08Members only

 10

SPC Step 3: Analyze Data

06:07Members only

 11

How to Select the Right Control Chart Type

05:51Members only

 12

SPC Step 4: Identify Variation

06:18Members only

 13

Common Cause vs Special Cause Variation

04:51Members only

 14

SPC Step 5: Root Cause Corrective Action

03:21Members only

 15

Managing with SPC

03:38Members only

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Video Resources

Course Resources

Next Video How to Select Subgroups 

A fun­da­men­tal aspect of SPC is to orga­nize data sam­ples into sub­groups, or a set of data points col­lect­ed from a process at approx­i­mate­ly the same time under near­ly iden­ti­cal con­di­tions. Learn the three char­ac­ter­is­tics for deter­min­ing sub­groups and the four fac­tors for set­ting sub­group size.