(eBook PDF) Introduction to Business Statistics 7th by Ronald – Digital Ebook – Instant Delivery Download

Product details:

• ISBN-10 ‏ : ‎ 053845217X
• ISBN-13 ‏ : ‎ 978-0538452175
• Author: Dr. Ron Weiers

If you’ve ever felt intimidated or a little overwhelmed by business statistics, or if you simply want to master the power of these critical business skills, this book is for you. Weiers’ INTRODUCTION TO BUSINESS STATISTICS, 6E speaks to you – today’s student – introducing the fundamentals of business statistics in a conversational language and application setting that you can easily understand. Proven learning aids woven throughout the text, outstanding illustrations, and hundreds of examples build upon familiar, real-life experiences to help you develop a solid understanding of key statistical concepts. You’ll discover how to use the statistical software most often chosen for business today. Also, you’ll learn how to complete hand calculations and Excel applications – and when it’s best to use each. To further your understanding of today’s statistics, a powerful online learning system – CengageNOW – helps you maximize your study time and efficiently complete homework with tutorials and interactive learning tools designed to focus specifically on the areas you individually need to master for business statistics success.

Table contents:

Part I: BUSINESS STATISTICS: INTRODUCTION AND BACKGROUND.

1. A Preview of Business Statistics.

2. Visual Description of Data.

3. Statistical Description of Data.

4. Data Collection and Sampling Methods.

Part II: PROBABILITY.

5. Probability: Review of Basic Concepts.

6. Discrete Probability Distributions.

7. Continuous Probability Distributions.

8. Sampling Distributions.

9. Estimation From Sample Data.

Part IV: HYPOTHESIS TESTING.

10. Hypothesis Tests Involving a Sample Mean or Proportion.

11. Hypothesis Tests Involving Two Sample Means or Proportions.

12. Analysis of Variance Tests.

13. Chi-Square Applications.

14. Nonparametric Methods.

Part V: REGRESSION, MODEL BUILDING, AND TIME SERIES.

15. Simple Linear Regressions and Correlation.

16. Multiple Regression and Correlation.

17. Model Building.

18. Models for Time Series and Forecasting.

Part VI: SPECIAL TOPICS.

19. Decision Theory.

20. Total Quality Management.

21. Ethics in Statistical Analysis and Reporting

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