Hypothesis Testing Made Simple

Rated 5.00/5 based on 1 reviews
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. More

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About Leonard Gaston

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.

Reviews

Review by: Virginia Green on March 15, 2014 :
I am 65+ in years, called Senior who has never taken a Statistics Course. I picked up this book, drawn by the fantastic cover and curiosity. As I started reading, the old adage, "It's All Greek to Me" came to mind. But as I progressed through the four rules laid out be Dr. Gaston it made sense. I was getting it. Clearly this book is a great precursor and supplement to the classroom work. It should be in the hip pocket, book bag or purse of every student taking College Statistics. It's Simple and Affordable. Buy the Book! V. Green
(reviewed within a week of purchase)

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