Excel 2016 for Social Work Statistics: A Guide to Solving Practical Problems
β Scribed by Thomas J. Quirk, Simone Cummings
- Publisher
- Springer International Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 262
- Series
- Excel for Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This text is a step-by-step guide for students taking a first course in statistics for social work and for social work managers and practitioners who want to learn how to use Excel to solve practical statistics problems in in the workplace, whether or not they have taken a course in statistics.
There is no other text for a first course in social work statistics that teaches students, step-by-step, how to use Excel to solve interesting social work statistics problems. Excel 2016 for Social Work Statistics explains statistical formulas and offers practical examples for how students can solve real-world social work statistics problems. This book leaves detailed explanations of statistical theory to other statistics textbooks and focuses entirely on practical, real-world problem solving.
Each chapter briefly explains a topic and then demonstrates how to use Excel commands and formulas to solve specific social work statistics problems. This book gives practice in using Excel in two different ways: (1) writing formulas (e.g., confidence interval about the mean, one-group t-test, two-group t-test, correlation) and (2) using Excelβs drop-down formula menus so as not to have to write formulas (e.g., simple linear regression, multiple correlation and multiple regression, and one-way ANOVA). Three practice problems are provided at the end of each chapter, along with their solutions in an Appendix. An additional Practice Test allows readers to test their understanding of each chapter by attempting to solve a specific practical social work statistics problem using Excel; the solution to each of these problems is also given in an Appendix.
β¦ Table of Contents
Front Matter ....Pages i-xvii
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean (Thomas J. Quirk, Simone Cummings)....Pages 1-20
Random Number Generator (Thomas J. Quirk, Simone Cummings)....Pages 21-34
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing (Thomas J. Quirk, Simone Cummings)....Pages 35-64
One-Group t-Test for the Mean (Thomas J. Quirk, Simone Cummings)....Pages 65-80
Two-Group t-Test of the Difference of the Means for Independent Groups (Thomas J. Quirk, Simone Cummings)....Pages 81-107
Correlation and Simple Linear Regression (Thomas J. Quirk, Simone Cummings)....Pages 109-152
Multiple Correlation and Multiple Regression (Thomas J. Quirk, Simone Cummings)....Pages 153-170
One-Way Analysis of Variance (ANOVA) (Thomas J. Quirk, Simone Cummings)....Pages 171-187
Back Matter ....Pages 189-250
β¦ Subjects
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
π SIMILAR VOLUMES
<p><span>This text is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social work problems. If understanding statistics isnβt your strongest suit, you are not especially mathematically inclined, or if you are wary of computers, this is
<p><p>This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published <i>Excel 2013 for Social Sciences Statistics</i>, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel
<p><p>This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isnβt yo
<p><p>This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isnβt yo
This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2016 for Social Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve pr