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Essentials of Statistics for Business & Economics

Essentials of Statistics for Business & Economics

Autorzy
Wydawnictwo Cengage Learning, Inc
Data wydania 01/02/2019
Liczba stron 880
Forma publikacji książka w twardej oprawie
Poziom zaawansowania Literatura popularna
Język angielski
ISBN 9780357045435
Kategorie Statystyka ekonomiczna
574.35 PLN (z VAT)
$129.20 / €123.14 / £106.90 /
Produkt na zamówienie
Dostawa 3-4 tygodnie
Ilość
Do schowka

Opis książki

Discover how statistical information impacts decisions in today's business world as Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann's leading ESSENTIALS OF STATISTICS FOR BUSINESS AND ECONOMICS, 9E connects concepts in each chapter to real-world practice. This edition delivers sound statistical methodology, a proven problem-scenario approach and meaningful applications that reflect the latest developments in business and statistics today. More than 350 new and proven real business examples, a wealth of practical cases and meaningful hands-on exercises highlight statistics in action. You gain practice using leading professional statistical software with exercises and appendices that walk you through using JMP (R) Student Edition 14 and Excel (R) 2016. WebAssign's online course management systems is available separately to further strengthen this business statistics approach and helps you maximize your course success.

Essentials of Statistics for Business & Economics

Spis treści

1. Data and Statistics.

2. Descriptive Statistics: Tabular and Graphical Displays.

3. Descriptive Statistics: Numerical Measures.

4. Introduction to Probability.

5. Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Distributions.

8. Interval Estimation.

9. Hypothesis Tests.

10. Inference about Means and Proportions with Two Populations.

11. Inferences about Population Variances.

12. Comparing Multiple Proportions, Test of Independence and Goodness of Fit.

13. Experimental Design and Analysis of Variance.

14. Simple Linear Regression.

15. Multiple Regression.

Appendix A: References and Bibliography.

Appendix B: Tables.

Appendix C: Summation Notation.

Appendix D: Self-Test Solutions and Answers to Even-Numbered Exercises. (online)

Appendix E: Microsoft Excel 2016 and Tools for Statistical Analysis.

Appendix F: Computing p-Values Using Minitab and Excel.

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