- Understanding

Statistical

Process Control - Price: $1595.
- Includes all books.

- Making Sense of Data
- Price: $795.
- Includes all books.

- Successful Experimentation
- Price: $1595.
- Includes all books.

Although I have a Ph.D., I simply did not "get it" about statistical control until I encountered Dr. Wheeler's "Advanced Topics." It was a huge turning point.

- Statistical Process Controls, Inc.
- SPC Press
- 5908 Toole Drive, Suite C
- Knoxville, TN 37919

For seminar information, to register for a Public Seminar, or to schedule a seminar for your organization, contact Fran Wheeler:

865-584-5005 fwheeler@spcpress.com

- 83. Lies, Damned Lies, and Teens Who Smoke
- 84. Two Plus Two Is Only Equal to Four on the Average
- 90. Description or Analysis?
- 112. Forty-six Men and a Test
- 157. Traffic Deaths Down for Third Straight Year
- 124. Documenting the Savings
- 225. Three Questions for Success
- 111. Three Types of Action
- 110. Five Ways to Use Shewhart’s Charts
- 129. A New Terminology
- 175. Why Bother with Training in Data Analysis?
- 256. Why We Keep Having 100-Year FLoods

- 88. Shewhart’s Charts and the Probability Approach
- 165. Good Data, Bad Data, & Process Behavior Charts
- 168. How to Establish Manufacturing Specifications
- 173. Experiments, Randomization, and Observational Studies
- 177. The Six Sigma Zone
- 189. An Honest Gauge R&R Study
- 191. What Happens After the Experiment?
- 200. Do You Have Leptokurtophobia?
- 204. The Four Questions of Data Analysis
- 208. The Imaginary Theorem of Large Samples
- 209. Two Routes to Process Improvement
- 220. Are You Sure We Don’t Need Normally Distributed Data?
- 238. Myths About Data Analysis
- 248. Shewhart, Deming,& Six Sigma
- 251. But the Limits Are Too Wide!
- 255. Contra Two Sigma
- 257. The Problem of Long-Term Capability
- 260. Separating the Signals from the Noise
- 321. Power Functions for Process Behavior Charts
- 352. Why Logarithmic Transformations are a Mistake
- 350. Supplement for Making Sense of Data Class

This seminar showed us how to analyze data in ways that others are able to understand and use it.

2010 - 2023