Fundamentals of Descriptive Statistics

<p>• Do your students need to organize and summarize data for term projects? Will they need to perform these tasks on the job? This book gives them thorough preparation.</p><p>• In twelve short chapters, your students will learn the purposes of descriptive statistics, their calculation, and proper interpretation.</p><p>• Actual data on the emotional health of foster-care adolescents are used throughout the book to illustrate various ways of deriving meaning from the data with descriptive statistics. Other interesting examples are also included.</p><p>• Computational procedures are illustrated with step-by-step, easy-to-follow examples.</p><p>• End-of-chapter exercises provide ample practice for students to master both computations and statistical concepts.</p><p>• Eliminates the need for students to buy a traditional statistics book that emphasizes inferential statistics.</p><p>• Thoroughly field-tested for student comprehension.</p><p>• This book will please you and your students with its clarity of presentation.</p><p>• Outstanding supplement for students who need to describe term project data.</p> <p>Chapter 1: Introduction to Statistics</p><p>Chapter 2: Percentages and Bar Graphs</p><p>Chapter 3: Shapes of Distributions</p><p>Chapter 4: The Mean: The Most Popular Average</p><p>Chapter 5: The Median and Mode: Alternatives to the Mean</p><p>Chapter 6: The Standard Deviation: First Cousin of the Mean</p><p>Chapter 7: The Range, Quartiles, and Interquartile Range</p><p>Chapter 8: Standard Scores</p><p>Chapter 9: Scattergrams and the Pearson r</p><p>Chapter 10: The Coefficient of Determination</p><p>Chapter 11: Linear Regression</p><p>Chapter 12: Glossary of Descriptive Statistics</p><p>Appendix A: Formula for the Interpolated Median</p><p>Appendix B: Computational Formula for the Standard Deviation</p><p>Appendix C: Computational Formula for the Pearson r</p><p>Index</p>