Buch, Englisch, 560 Seiten, Format (B × H): 278 mm x 216 mm, Gewicht: 1360 g
Buch, Englisch, 560 Seiten, Format (B × H): 278 mm x 216 mm, Gewicht: 1360 g
ISBN: 978-0-12-820025-4
Verlag: Elsevier Health Sciences
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.
Zielgruppe
Undergraduate/ early graduate students of business, finance, economics, and statistics Researchers/Professionals
Autoren/Hrsg.
Weitere Infos & Material
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