| Introduction to the Design of Experiments (DOE) by Roger L. Roy DOE helped me to understand the different sources of error and variability as well as the tools available to minimize variability - repetition, randomization, blocking and controls. I now have a much better understanding of simple experimental designs and more complex factorial designs - along with the corresponding statistical tools - t-test, and Analysis of Variance (ANOVA) F-test. The breaking down of the components of variability when performing an ANOVA was of great benefit. Moreover, the notion of an interaction between two factors and how to test multiple comparisons were also very useful.
The XLSTAT add-in to Microsoft Excel provides powerful and efficient statistical tools that allowed me to obtain faster, more detailed, reliable and accurate results than I have seen with other statistical packages.
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