Using a truly accessible and reader-friendly approach, this comprehensive introduction to statistics redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.

Describing Nominal and Ordinal Data : The Descriptive Statistics Used With Nominal and Ordinal Data

Describing Nominal and Ordinal Data : The Descriptive Statistics Used With Nominal and Ordinal Data

Whenever you can, count.

—Sir Francis Galton

All Numbers Are Not Equal

We are all familiar with measuring things. In the United States, the gas you use to fill the tank of your car is measured in gallons. Your height is measured in feet and inches. Your weight is measured in pounds. In most of the world, you would have used liters, centimeters, and kilograms for these measurements. Regardless, you probably have not given much thought to the implications of how we measure things. For instance, does it matter at the Olympics if we know precisely how quickly three runners completed a race? As long as we know their order of finishing ...

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