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Title
Statistics in Analytical Chemistry: Part 52—Corrections and Clarifications
Tuesday, April 09, 2013
Lynn Vanatta
As was stated at the end of Part 50, this current installment will be the last in the “Statistics in Analytical Chemistry” series. The mission of this article is to correct mistakes and clarify ...
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Statistics in Analytical Chemistry: Part 51–Internal Standards With Electrospray Mass Spectrometry
Thursday, February 14, 2013
Lynn Vanatta
In modern scientific laboratories, the electrospray mass spectrometer is being used extensively. The instrument is highly specific and for many applications is quite sensitive.
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Statistics in Analytical Chemistry: Part 46—R
2
(Concluded)
Wednesday, February 08, 2012
David Coleman
Lynn Vanatta
Over the course of the past two articles (Part 44,Oct 2011, and Part 45, Nov/Dec 2011), R2 has been defined, its components have been explained verbally and mathematically, and the statistic’s ...
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Statistics in Analytical Chemistry: Part 45—R
2
(Continued)
Tuesday, November 01, 2011
David Coleman
Lynn Vanatta
In the previous installment (American Laboratory, Oct 2011), the terms that contribute to R2 were defined and a formula relating them was developed.
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Statistics in Analytical Chemistry: Part 44—R
2
Saturday, October 01, 2011
David Coleman
Lynn Vanatta
Imagine that a new method has been developed and now needs a calibration curve.
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Statistics in Analytical Chemistry: Part 50—Sampling Theory
Friday, November 23, 2012
Lynn Vanatta
Throughout this series of articles, the emphasis has been on calibration and recovery curves, which are necessary for the quantitative analysis of samples via analytical methods that involved simple ...
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Statistics in Analytical Chemistry: Part 49—Relative Standard Deviations and Detection
Monday, August 27, 2012
David Coleman
Lynn Vanatta
It is possible to associate a relative standard deviation or the more general relative measurement uncertainty (RSD and RMU, respectively) with a detection limit (DL).
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Statistics in Analytical Chemistry: Part 47—Risky Calibration Practices
Monday, April 09, 2012
David Coleman
Lynn Vanatta
In analytical chemistry, simple linear regression is often used to perform calibration or recovery activities.
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Statistics in Analytical Chemistry: Part 48—Relative Standard Deviations (RSDs)
Tuesday, June 05, 2012
David Coleman
Lynn Vanatta
The previous installment dealt with several regression practices that are risky in the world of calibration and recovery.
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Statistics in Analytical Chemistry: Part 43—Pass-Fail Methods (Concluded)
Monday, June 13, 2011
David Coleman
Lynn Vanatta
The previous article (American Laboratory, Apr 2011) ended with an unsolved problem: how to implement a pass-fail method if the blank matrix contains a non-negligible amount of the analyte.
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Statistics in Analytical Chemistry Calibration: Introduction and Ordinary Least Squares
Wednesday, January 01, 2003
David Coleman
Lynn Vanatta
Calibration is a modeling procedure by which a response (e.g., peak area) can be transformed into a useful measurement (e.g.,concentration).
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Statistics in Analytical Chemistry: Part 2—Measurement and the Real-Number Line
Friday, November 01, 2002
David Coleman
Lynn Vanatta
Measurement is at the heart of what analytical chemists do on a routine basis.
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Statistics in Analytical Chemistry: A new American Laboratory column
Sunday, September 01, 2002
David Coleman
Lynn Vanatta
Welcome to “Statistics in analytical chemistry.”
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Statistics in Analytical Chemistry: Part 42—Pass-Fail Methods
Wednesday, April 06, 2011
David Coleman
Lynn Vanatta
In the past articles, the discussions about methods have always dealt with procedures that estimate sample concentrations over a range of levels.
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Statistics in Analytical Chemistry: Part 26—Detection Limits: Editorial Comments and Introduction
Friday, June 01, 2007
David Coleman
Lynn Vanatta
We believe that detection limits (DLs) should go away.
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Statistics in Analytical Chemistry: Part 27—Receiver Operating Characteristic (ROC) Curves
Saturday, September 01, 2007
David Coleman
Lynn Vanatta
Consider the following algebraic equation: 5x + 11y + 39z = 106 Since this single expression has three unknowns, there are many possible solutions; a single exact solution cannot be found.
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Statistics in Analytical Chemistry: Part 23—Degrees of Freedom in the Lack-of-Fit Test
Sunday, October 01, 2006
David Coleman
Lynn Vanatta
In the previous article (Part 22, American Laboratory, June/July 2006), the details behind the lack-of-fit (LOF) test were discussed.
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Statistics in Analytical Chemistry: Part 24—Glossary
Friday, December 01, 2006
David Coleman
Lynn Vanatta
Since the beginning of this series of articles, the central topic has been calibration and its associated uncertainty.
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Statistics in Analytical Chemistry: Part 21—Recovery Curves and Internal Standards (Concluded)
Saturday, April 01, 2006
David Coleman
Lynn Vanatta
The previous two installments have discussed the issue of nonideal recovery, a problem that occurs in many analytical methods.
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Statistics in Analytical Chemistry: Part 22—Lack-of-Fit Details
Thursday, June 01, 2006
David Coleman
Lynn Vanatta
Because of popular demand from readers, this installment will discuss the principles and calculations that underlie the lack-of-fit (LOF) test.
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