Apply statistics to your everyday life. Statistics and Data Analysis for Social Science helps students to build a strong foundational understanding of statistics by providing clarity around when and why statistics useful. Rather than focusing on the “how to” of statistics, author Eric J. Krieg simplifies the complexity of statistical calculations by introducing only what is necessary to understanding each concept. Every chapter is written around and applied to a different social problem or issues–enabling students to broaden their imagination about the statistical “tools” that can be used to make sense of our world and, maybe, to make the world a better place. In addition to updating all the tables and examples with new data, the Second Edition has replaced the section on SPSS with three new sets of exercises at the end of each chapter:  1. Chapter Exercises for students complete during their reading and bring questions to class,  2. In-Class Exercises that focus on the areas that students struggled with during their reading, and  3.  Homework Exercises that can be assigned if students need extra practice with the concepts.

Analysis of Variance

Analysis of Variance

Analysis of Variance

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Introduction

You may recall from Chapter 6 that variance is an important part of analyzing whether two means are truly different from one another. Specifically, we looked at the difference in socioeconomic status between males and females by calculating the standard error of the difference between means and used it to conduct a t test. The t test informed us to the degree of certainty we could place in the difference between males and females. It was a useful test and is used very often; unfortunately, it can be used to compare only two groups (two means).

Often we are in a position of needing to compare more than two means. For example, we may be asked to compare ...

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