Dr. G. is a retired university professor. He supervised graduate level research projects for more than twenty years and found that students often encountered frustration and project delay because they lacked understanding of the basics of hypothesis testing. These students needed tutorial help to pick and choose among various types of simple tests they could apply to their research data and then could proceed successfully. Developing a formal course to prepare students for research projects, he determined to include in that course an introduction to hypothesis testing that would give students practical help - brief lectures, practice problems, and problem solutions for discussion. His book is a direct result of that practical experience. It is intended to be an easy to understand tutorial that will help the student researcher develop and test a hypothesis meaningful to his or her research objective.
This tutorial is intended to help readers do four things: (1) Decide if their data gathering activity can yield numerical data that will permit a meaningful hypothesis test. (2) If it will, decide any of the tests described would be useful. (3) If so, apply that test, and (4) Adequately explain the results.