ABSTRACT

In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniqu

chapter 1|16 pages

INTRODUCTION

chapter 2|50 pages

NUMERICAL AND GRAPHICAL SUMMARIES OF DATA

chapter 3|44 pages

PROBABILITY AND RELATED CONCEPTS

chapter 5|40 pages

HYPOTHESIS TESTING

chapter 6|52 pages

REGRESSION AND CORRELATION

chapter 7|48 pages

BOOTSTRAP METHODS

chapter 8|86 pages

COMPARING TWO INDEPENDENT GROUPS

chapter 9|28 pages

COMPARING TWO DEPENDENT GROUPS

chapter 10|56 pages

ONE-WAY ANOVA

chapter 11|44 pages

TWO-WAY AND THREE-WAY DESIGNS

chapter 12|38 pages

COMPARING MORE THAN TWO DEPENDENT GROUPS

chapter 13|60 pages

MULTIPLE COMPARISONS

chapter 14|52 pages

SOME MULTIVARIATE METHODS

chapter 16|26 pages

BASIC METHODS FOR ANALYZING CATEGORICAL DATA