Business Statistics A First Course, 8e
Business Statistics:
A First Course 8e presents a comprehensive study of latest developments while retaining the rich pedagogy and style of the previous editions. This book has been conceptualized and designed to enable students to see the relevance of statistics to their own careers by using examples from the functional areas that may become their areas of specialization.The book includes topics of statistics are discussed in the context of the functional areas of business such as accounting, finance, management, and marketing and explain the application of specific methods to business activities. Emphasis has been given on interpretation and analysis of statistical results over calculation. By integrating the use of Microsoft Excel, JMP, and Minitab, the content familiarizes students with the use of data analysis software. We integrate using MicrosoftAs the world of business statistics continues to expand and combine with other disciplines, in a reprise of emerging fields of study such as informatics, data analytics and decision science, this book proves useful for undergraduate and postgraduate students across disciplines while practicing managers will find this book as an indispensable guide in their everyday jobs.
Features
- A First Things First Chapter that builds on the previous edition’s novel Important Things to Learn First Chapter by using real-world examples.
- Tabular Summaries that state hypothesis test and regression example results along with the conclusions that those results support now appear in Chapters 10 through 13
- Updated Excel and Minitab Guides that reflect the most recent editions of these programs.
- New JMP Guides that provide detailed, hands-on instructions for using JMP to illustrate the concepts that this book teaches.
- Tableau Guides for selected chapters that make best use of this software for basic and advanced visualizations and regression analysis.
- An All-New Business Analytics Chapter (Chapter 14) that makes extensive use of JMP, Minitab, and Tableau to illustrate predictive analytics for prediction, classification, clustering.
Contents:
1. Defining and Collecting Data
2. Organizing and Visualizing Variables
3. Numerical Descriptive Measures
4. Basic Probability
5. Discrete Probability Distributions
6. The Normal Distribution
7. Sampling Distributions
8. Confidence Interval Estimation
9. Fundamentals of Hypothesis
Testing: One-Sample Tests
10. Two-Sample Tests and One-Way ANOVA
11. Chi-Square Tests
12. Simple Linear Regression
13. Multiple Regression
14. Business Analytics
15. Statistical Applications in Quality Management
16. Appendices A–H
17. Self-Test Solutions and Answers to Selected Even-Numbered
18. Problems
19. Index
20. Credits
| Book | |
|---|---|
| Author | Levine |
| Pages | 828 |
| Year | 2022 |
| ISBN | 9789356064690 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 8/e |
| Weight | 1.18 kg |
| Dimensions | 25.4 x 20.3 x 8.7 cm |
| Binding | Paperback |