ABSTRACT
Collaboration between such individuals, with different formal languages and probably different ways of thinking about science, is an acquired skill. This chapter presents some guidelines for writing to provide a framework for communicating ideas in a lasting medium, so that other scientists can learn directly from the experience of analyzing data from the experiments. Practical data analysis usually involves collaboration between one scientist knowledgeable in a substantive field and another trained in statistics. Scientists with statistical training have tremendous opportunities for collaboration, with all its rewards and dangers. The statistician attempts to guide analysis and point out difficulties and cautions, while maintaining a professional distance from the results of the experiment. It can be quite helpful to examine the learning process and the concept of intelligence in order to understand how communication can be improved. Scientific writing should be unambiguous. It should state clearly what was done, how it was done and what was found.
