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Introduction To Business Statistics 6th Edition
Highly praised for its clarity and great examples, Weiers' INTRODUCTION TO BUSINESS STATISTICS, 6E introduces fundamental statistical concepts in a conversational language that connects with today's students. Even those intimidated by statistics quickly discover success with the book's proven learning aids, outstanding illustrations, non-technical
terminology, and hundreds of current examples drawn from real-life experiences familiar to students. A continuing case and contemporary applications combine with more than 100 new or revised exercises and problems that reflect the latest changes in business today with an accuracy you can trust. You can easily introduce today's leading statistical software and teach not only how to complete calculations by hand and using Excel, but also how to determine which method is best for a particular task. The book's student-oriented approach is supported with a wealth of resources, including the innovative new ThomsonNOWTM online course management and learning system that saves you time while helping students master the statistical skills most important for business success.
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.
Part III: SAMPLING DESTRIBUTIONS AND ESTIMATION
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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