Abstract
An electrochemical scientist specializing in corrosion studies wishes to decide whether tensile and compressive stress measured at various temperatures in samples of corroding metals differ significantly, and if the influence of temperature is statistically important. An electrochemical engineer specializing in process performance/quality control wishes to decide if specific energy requirements of an electrolytic product, varying from plant to plant, are significantly different. The analysis of variance, ANOVA, a body of statistics 1 answers such questions. It is devoted to the study of the variability of factors influencing experimental observations, involving simple (one- and two-factor), and complex (multiple-factor) experiments and designs.
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Fahidy, T.Z. (2007). Basic Applications of the Analysis of Variance and Covariance in Electrochemical Science and Engineering. In: White, R.E., Vayenas, C.G., Gamboa-Aldeco, M.E. (eds) Modern Aspects of Electrochemistry No. 40. Modern Aspects of Electrochemistry, vol 40. Springer, New York, NY. https://doi.org/10.1007/978-0-387-46106-9_2
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