2009

• 193. Feb.09 First, Look at the Data
• 194. Mar.09 Probability Models Do Not Generate Your Data
• 195. Apr.09 No Data Have Meaning without Context
• 197. May.09 All Outliers Are Evidence!
• 198. Jun.09 Don’t the Outliers Distort the Limits?
• 199 Jul.09 Good Limits from Bad Data
• 200. Aug.09 Do You Have Leptokurtophobia?
• 201. Sep.09 Transforming the Data Can Be Fatal to Your Analysis
• 202. Oct.09 Avoiding Statistical Jabberwocky
• 203. Nov.09 Two Definitions of Trouble
• 204. Dec.09 The Four Questions of Data Analysis

2010

• 205. Jan.10 The Right and Wrong Ways of Computing Limits
• 206. Feb.10 Individual Charts Done Right and Wrong
• 207. Mar.10 Scaling Factors for Process Behavior Charts
• 208. Apr.10 The Imaginary Theorem of Large Samples
• 209. May.10 Two Routes to Process Improvement
• 210. Jun.10 Is the Part in Spec?
• 213. Jul.10 Where Do Manufacturing Specifications Come From?
• 215. Aug.10 The Effective Cost of Production and Use
• 216. Sep.10 The Gaps between Performance and Potential
• 217. Oct.10 What Is the Zone of Economic Production?
• 220. Nov.10 Are You Sure We Don’t Need Normally Distributed Data?
• 222. Dec.10 The Intraclass Correlation Coefficient

2011

• 223. Jan.11 Problems with Gauge R&R Studies
• 224. Feb.11 A Better Way to Do R&R Studies
• 225. Mar.11 Three Questions for Success
• 226. Apr.11 How Measurement Error Affects the Four Ways We Use Data
• 227. May.11 100% Inspection and Measurement Error
• 228. Jun.11 Estimating the Fraction Nonconforming
• 230. Jul.11 Problems with Risk Priority Numbers
• 231. Aug.11 Problems with Skewness and Kurtosis
• 232. Sep.11 Myths About Process Behavior Charts
• 233. Oct.11 What About p-Charts?
• 234. Nov.11 Working with Rare Events
• 235. Dec.11 What is Chunky Data?