9780072483895

Why make statistics harder than it has to be? Lind/Marchal/Mason: STATISTICAL TECHNIQUES IN BUSINESS AND ECONOMICS, 11/e is a perennial market best seller due to its comprehensive coverage of statistical tools and methods delivered in a student friendly, step-by-step format. The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Modern computing tools and applications are introduced, but the text maintains a focus on presenting statistics content as oppose to technology or programming methods, and the eleventh edition continues as a 'students' text with increased emphasis on interpretation of data and results.

1. What is Statistics?
2. Describing Data: Frequency Distributions and Graphic Presentation
3. Describing Data: Measures of Central Tendency
4. Other Descriptive Measures
5. A Survey of Probability Concepts
6. Discrete Probability Distributions
7. The Normal Probability Distribution
8. Sampling Methods and The Central Limit Theorem
9. Estimation and Confidence Intervals
10. One Sample Tests of Hypothesis
11. Two Sample 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 Under Uncertainty
Appendices

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Statistical Techniques in Business and Economics

Statistical Techniques in Business and Economics

007248389X

Summary

Table of Contents

2. Describing Data: Frequency Distributions and Graphic Presentation

3. Describing Data: Measures of Central Tendency

4. Other Descriptive Measures

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. The Normal Probability Distribution

8. Sampling Methods and The Central Limit Theorem

9. Estimation and Confidence Intervals

10. One Sample Tests of Hypothesis

11. Two Sample 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 Under Uncertainty

Appendices

Supplemental Materials