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Stanley N. Deming
Stanley N. Deming
Articles by Stanley N. Deming
Statistics in the Laboratory: Confidence Interval of the Mean
Wednesday, June 19, 2019
Estimated means are often used for making quantitative decisions (e.g., to decide if something meets specifications).
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Statistics in the Laboratory: Standard Deviation of the Mean
Friday, February 22, 2019
In the last column we discussed the use of pooling to get a better estimate of the standard deviation of the measurement method, essentially the standard deviation of the raw data.
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Statistics in the Laboratory: Pooling
Wednesday, October 24, 2018
In statistics, “pooling” describes the practice of gathering together small sets of data that are assumed to have the same value of a characteristic (e.g., a mean) and using the combined larger set (...
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Statistics in the Laboratory: Scedasticity
Friday, August 24, 2018
Homoscedastic and heteroscedastic—if nothing else, these are two good adjectives for word games.
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Statistics in the Laboratory: Significant Digits and the Granularity of Data
Tuesday, June 05, 2018
A true story: one of my former graduate students called me and said, in effect, “Help. I know I’m a good analytical chemist, but my company is making me look like a perfect analytical chemist.”
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Statistics in the Laboratory: Mandel Sensitivity
Wednesday, March 28, 2018
In the three previous columns, we discussed the limit of detection amount LDA, the minimum consistently detectable amount MCDA, and the limit of quantitation amount LQA.
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Statistics in the Laboratory: The Limit of Quantitation
Thursday, January 18, 2018
In the two previous columns, we discussed the limit of detection LD, the minimum signal strength above which we can state with at least a given level of confidence (e.g., =99.95%) that analyte is ...
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Statistics in the Laboratory: The Minimum Consistently Detectable Amount
Tuesday, September 05, 2017
In the previous column we discussed the limit of detection LD, the minimum signal strength above which we can be confident that analyte is present, but with a small false positive risk a that analyte ...
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Statistics in the Laboratory: The Limit of Detection
Wednesday, June 07, 2017
The phrase “limit of detection” sounds so simple, yet it leads to one of the biggest, murkiest, most frustrating swamps in the statistical literature.
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Statistics in the Laboratory: The Apparent Capability of an Industrial Process
Monday, January 16, 2017
It’s important to realize that information gets filtered and distorted by the inherent behavior of a measurement process.
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Statistics in the Laboratory: The Capability of a Measurement Process
Tuesday, September 27, 2016
Measurement processes must be fit for use. In this column, we’ll develop some quantitative statistical descriptors of the capability of a measurement process to be valid for its intended purpose.
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Statistics in the Laboratory: Control Charts, Part 3
Thursday, May 26, 2016
In the previous two columns (January/February and April 2016), we looked at the basic ideas behind control charts, saw how to construct the common X-bar and R charts and discovered that only two ...
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Statistics in the Laboratory: Control Charts, Part 2
Wednesday, April 06, 2016
In the previous column (January/February 2016), we looked at the basic ideas behind control charts and saw how to construct a common X-bar and R chart.
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Statistics in the Laboratory: Control Charts, Part 1
Tuesday, January 26, 2016
Statistical process control (SPC) charts were introduced briefly in the previous column (October 2015).
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Statistics in the Laboratory: A New American Laboratory Column
Friday, September 25, 2015
Welcome to “Statistics in the Laboratory.” This column will appear four times a year and will build on the popular “Statistics in Analytical Chemistry” series by David Coleman and Lynn Vanatta ...
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