ABSTRACT
Methods of experimental design and data analysis derive their value from the contributions they make to the more general enterprise of science. To appreciate what design and analysis can and cannot do for you, it is necessary to understand something of the logic of science. Although we do not attempt to provide a comprehensive introduction to the philosophy of science, we believe it is necessary to present some of the difficulties involved in attempting to draw valid inferences from experimental data regarding the truth of a given scientific explanation of a particular phenomenon.
