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# Statistical Techniques in Business and Economics - Text Only - 12th edition

## ISBN10: 0072868244

Edition: 12TH 05
Publisher: McGraw-Hill Publishing Company
Published: 2005
International: No

## ISBN10: 0072868244

Edition: 12TH 05

### Summary

New to This Edition

The section on ANOVA has been revised for a more conceptual approach, including more interpretation, and now covers 2 way ANOVA with interaction using Excel.
Chapter 4 has been reorganized and revised and now includes new sections on Dot Plots, and one describing the relationship between two variables.
Chapters 1 and 2 have been revised and expanded and now include more on graphics and ethics related to statistics reporting and interpretation.
Where appropriate, some computational procedures have been reduced or eliminated.
Approximately 50 new screen shots have been added, and software command sections expanded, mainly using Excel and MegaStat for Excel.
Chapter 19 now includes Weighted Moving Averages.
Many improvements have been made throughout the text to explanations, examples, graphics, and exercises, based on thorough adopter and reviewer suggestions. While these will not be readily obvious at a glance to users, they will most certainly improve student understanding of the concepts, and their success and experience in the course.
Excel, MegaStat, and Minitab are integrated throughout the text, in enough detail to support students.

1. What is Statistics?

2. Describing Data: Frequency Distributions and Graphic Presentations

3. Describing Data: Numerical Measures

4. Describing Data: Displaying and Exploring Data

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. Continuous Probability Distributions

8. Sampling Methods and the Central Limit Theorem

9. Estimation and Confidence Intervals

10. One-Sample Tests of Hypothesis

11.Two Samples Tests of Hypothesis

12. Analysis of Variance

13. Linear Regression and Correlation

14. Multiple Regression and Correlation Analysis

15. Nonparametric Methods: Chi-Square Applications

16. Nonparametric Methods: Analysis of Ranked Data

17. Statistical Quality Control

18. Index Numbers

19. Time Series and Forecasting

20. An Introduction to Decision Theory

Appendixes: Tables and Data Sets, and MegaStat