We introduce the statistical design of experiments and put the topic into the larger context of scientific experimentation. We give a nontechnical discussion of some key ideas of experimental design, including the role of randomization, replication, and the basic idea of blocking for increasing precision and power. We also take a more high-level view and consider the construct, internal and external validities of an experiment, and the corresponding tools that experimental design offers to achieve them.