A clear and concise introduction to statistics for business and management students, demonstrating how important statistics are in the business decision-making process and covering everything from conducting a survey and collecting data, to summarizing statistical data, and presenting findings. Each chapter features a real-world business situation and accompanying dataset, the reader is then encouraged to identify the correct statistical concept in the chapter and solve the problem outlined. Offering students a chance to use the newly learned theory in a practical way. New to the second edition: A "Review of Essential Mathematics" prologue, featuring tests and further links to help students refresh their knowledge of the core mathematical concepts used to calculate basic statistics. Updated screenshots on using IBM SPSS and Excel. A "Statistics in the Real World" feature included at the end of each chapter, demonstrating how statistics are applied in real-world business settings and research, accompanied by reflective questions. Updated case studies, examples and diagrams, illustrating key points and helping to reinforce learning. The book is accompanied by free online resources including step-by-step video tutorials on how to use Excel and IBM SPSS, datasets and worked solutions, an Instructors' Manual, Testbank, and PowerPoint presentation slides for lecturers. Essential reading for business students wanting to know how to use statistics in a business setting.
Richard Landers is Assistant Professor of Industrial/Organizational Psychology at Old Dominion University, U.S.A.
Prologue: Review of Essential Mathematics Part 1. Descriptive Statistics Chapter 1. The Language of Statistics Chapter 2. Working with Numbers and Data Display Chapter 3. Central Tendency and Variability Chapter 4. Probability Distributions Chapter 5. Sampling Distributions Part 2. Inferential Statistics Chapter 6. Estimation and Confidence Intervals Chapter 7. Hypothesis Testing Chapter 8. z-Tests and One-Sample t-Tests Chapter 9. Paired- and Independent-Samples t-Test Chapter 10. Analysis of Variance (ANOVA) Chapter 11. Chi-Squared (x2) Tests of Fit Chapter 12. Correlation and Regression Part 3 Wrap-Up Chapter 13. Matching Statistical Tests to Business Problems A1. z-Table A2. t-Table A3. F-Table (cx = 0.5) A4. F-Table (cx = .01) A5. X2-Table (chi-squared) B1. Inferential Test Reference Table B2. Inferential Test Decision Tree C. Glossary D. Statistical Notation and Formulas E. Enabling Excel's Data Analysis Add-In
Richard N. Landers has written an excellent text. Put simply, A Step-by-Step Guide to Statistics for Business needs to be core reading for all students undertaking statistics as part of a Business or Management programme. Landers writes in an accessible and easy-to-follow style, which leads the reader from basic numeracy to inferential statistics. -- David Gilding
