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Laboratory Studies Part 1 - A Blueprint

We will begin by taking a look at the detailed aspects of a basic problem that confronts most analytical laboratories. This is the problem of comparing two quantitative methods performed by different operators or at different locations. This is an area that is not restricted to spectroscopic analysis many of the concepts we describe here can be applied to evaluating the results from any form of chemical analysis. In our case we will examine a comparison of two standard methods to determine precision, accuracy, and systematic errors (bias) for each of the methods and laboratories involved in an analytical test. As it happens, in the case we use for our example, one of the analytical methods is spectroscopic and the other is an HPLC method. [Pg.167]

We will use ANOVA to evaluate potential bias in reported results inherent in the analytical methods themselves, or due to the operators (i.e., location of laboratory) performing the methods. For the next series of articles all computations were completed using MathCad Worksheets [4] written by the authors. The objectives of this next set of articles is to determine the precision, accuracy, and bias due to choice of analytical [Pg.167]

Before considering the design and the analysis of it in detail, let us take a look at the factors that are being included in the design, and their impact on the experimental design and the analysis of this design we have six samples, two methods of analysis for the constituent of interest, two laboratories, two chemists in each laboratory and five repeat readings of the constituents of each sample by each chemist. Statistical hypothesis [Pg.168]

Sample No. -Replicate no. Lab 1 -Method B Lab2-Method B Lab 1 -Method A Lab2-Method A [Pg.169]

We have the following a priori expectations for the behavior of these several factors  [Pg.170]


See other pages where Laboratory Studies Part 1 - A Blueprint is mentioned: [Pg.167]    [Pg.553]    [Pg.167]   


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