ABSTRACT
This chapter introduces the idea of factor main effects and interactions, and discusses the value of a compact system of notation. The scientist interested in understanding his/her problem will have to stretch as well, learning a bit of notation and some of the pragmatic aspects of managing data using computers. Practical data analysis begins by placing data in the context of the scientific experiment, the statistical methods and the human interchange necessary to conduct research in an intelligent fashion. The chapter stresses the need for interpretation of results in the context of the original experiment and the assumptions which shape the analysis. The scientist who wants to reach a deeper understanding of how to analyze planned experiments may eventually appreciate notation, particularly if it is placed in proper context. Interpretation of results must take account of the structure of the experiment, the purpose of analysis and the limitations of the methods employed.
