Excel 2019 for Social Science Statistics
Springer International Publishing (Verlag)
978-3-030-64332-4 (ISBN)
Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.
In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.
lt;p>
At the beginning of his academic career, Prof. Quirk spent six years in educational research at The American Institutes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College, and is currently a Professor Emeritus of Marketing in The Walker School of Business & Technology at Webster University based in St. Louis, Missouri (US) where he taught Marketing Statistics, Marketing Research, and Pricing Strategies. He has written over 60 textbook supplements in Marketing and Management, published over 20 articles in professional journals, and presented over 20 papers at professional meetings. He holds a BS in Mathematics from John Carroll University, both an MA in Education and a PhD in Educational Psychology from Stanford University, and an MBA from The University of Missouri-St. Louis.
Preface.- Acknowledgements.- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean.- 2 Random Number Generator.- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing.- 4 One-Group t-Test for the Mean.- 5 Two-Group t-Test of the Difference of the Means for Independent Groups.- 6 Correlation and Simple Linear Regression.- 7 Multiple Correlation and Multiple Regression.- 8 One-Way Analysis of Variance (ANOVA).- Appendix A: Answers to End-of-Chapter Practice Problems.- Appendix B: Practice Test.- Appendix C: Answers to Practice Test.- Appendix D: Statistical Formulas.- Appendix E: t-table.- Index.
| Erscheinungsdatum | 29.03.2021 |
|---|---|
| Reihe/Serie | Excel for Statistics |
| Zusatzinfo | XVII, 246 p. 166 illus., 165 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 409 g |
| Themenwelt | Geisteswissenschaften ► Psychologie |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| Schlagworte | Applied Sciences • Applied Social Science Statistics • Basic Social Science Statistics • Excel 2019 • Excel 2019 Social Science Statistics • Excel 2019 Textbook • Practical Social Science Statistics • social science statistics • Social Science Statistics with Excel 2019 • statistical modeling |
| ISBN-10 | 3-030-64332-8 / 3030643328 |
| ISBN-13 | 978-3-030-64332-4 / 9783030643324 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
