Practical business statistics

Table of content:
Part I: Introduction and Descriptive Statistics

1. Introduction: Defining the Role of Statistics in Business

2. Data Structures: Classifying the Various Types of Data Sets

3. Histograms: Looking at the Distribution of Data

4. Landmark Summaries: Interpreting Typical Values and Percentiles

5. Variability: Dealing with Diversity

Part II: Probability

6. Probability: Understanding Random Situations

7. Random Variables: Working with Uncertain Numbers

Part III: Statistical Inference

8. Random Sampling: Planning Ahead for Data Gathering

9. Confidence Intervals: Admitting That Estimates Are Not Exact

10. Hypothesis Testing: Deciding Between Reality and Coincidence

Part IV: Regression and Time Series

11. Correlation and Regression: Measuring and Predicting Relationships

12. Multiple Regression: Predicting One Variable From Several Others

13. Report Writing: Communicating the Results of a Multiple Regression

14. Time Series: Understanding Changes Over Time

Part V: Methods and Applications

15. ANOVA: Testing for Differences Among Many Samples and Much More

16. Recent Developments

17. Chi-Squared Analysis: Testing for Patterns in Qualitative Data

18. Quality Control: Recognizing and Managing Variation

19. Statistical (Machine) Learning: Using Complex Models With Large Data Sets
[https://shop.elsevier.com/books/practical-business-statistics/siegel/978-0-12-820025-4]

Practical Business Statistics, Eighth Edition, offers readers a practical, accessible approach to managerial statistics that carefully maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal with uncertainty, while promoting the use of practical computer applications. This trusted resource teaches present and future managers how to use and understand statistics without an overdose of technical detail, enabling them to better understand the concepts at hand and to interpret results.

The text uses excellent examples with real world data relating to business sector functional areas such as finance, accounting, and marketing. Written in an engaging style, this timely revision is class-tested and designed to help students gain a solid understanding of fundamental statistical principles without bogging them down with excess mathematical details.
(https://shop.elsevier.com/books/practical-business-statistics/siegel/978-0-12-820025-4)