- Item type
- Ebook
- Language
- English
- Publication year
- 2018
- Edition no.
- 10th ed.
- Contributors
- ISBN
- 978-1-292-22043-7
"Gain an edge in todays workplace by applying statistical analysis skills to real-world decision-making.
Business Statistics: A Decision Making Approach provides you with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and gives you a resource that can be used in both their academic and professional careers." - from publisher
1. The where, why, and how of data collection --- 2. Graphs, charts, and tablesdescribing your data --- 3. Describing data using numerical measures --- 4. 1. Chapters 1-3 Special review section --- 5. Introduction to probability --- 6. Discrete probability distributions --- 7. Introduction to continuous probability distributions --- 8. Introduction to sampling distributions --- 9. Estimating single population parameters --- 10. Introduction to hypothesis testing --- 11. Estimation and hypothesis testing for two population parameters --- 12. Hypothesis tests and estimation for population variances --- 13. Analysis of variance --- 14. 1. Chapters 8-12 Special review section --- 15. Goodness-of-fit tests and contingency analysis --- 16. Introduction to linear regression and correlation analysis --- 17. Multiple regression analysis and model building --- 18. Analyzing and forecasting time-series data --- 19. Introduction to nonparametric statistics --- 20. Introducing business analytics --- 21. (Online only) Introduction to decision analysis --- 22. (Online only) Introduction to quality and statistical process control.
