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by Robert D. Mason, Douglas Lind and William G. Marchal

Edition: 10TH 99Copyright: 1999

Publisher: Richard D. Irwin, Inc.

Published: 1999

International: No

Robert D. Mason, Douglas Lind and William G. Marchal

Edition: 10TH 99This title is currently not available in digital format.

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Comprehensive survey of statistical tools and methods in a student friendly step-by-step format. Concepts presented clearly and succinctly and then illustrated with solved examples. Supporting pedagogy reinforces concepts. Text is the best seller in this market

Excel and Minitab are used as examples in the chapter and the explanations of the computer commands are moved to the end of the chapter letting students focus on statistical techniques Data disk included with all copies of the book.

Statistics in Action boxes provide interesting applications and historical insights into statistics. Web exercises related to companies, government organizations, and university data sets enhance students use of data.

Cases added to Review Sections after groups of chapters challenges students to pull together the necessary material from more than one concept to consider business problems.

Pronunciation Key listing the math symbol, its meaning, and how to pronounce it follows at the end of chapter, helping students gain confidence in the language of statistics and retain the meaning of the symbol. Use of p-values integrated in the hypothesis testing discussions throughout the text. Material on quartiles reflects the use of the computer and is based on ungrouped rather than grouped data allowing student to focus on interpretation of the data. Regression and correlation analysis includes more realistic examples and more observations to emphasize decision making aspects. A new section describing the difference between dependent and independent samples with a discussion of why the p-values change when dependent and independent samples are used on the same data. Over 154 more exercises were added-an increase of 19 percent

Clear explanations supported by detailed step-by-step examples.

Complete coverage at the appropriate level for sophomore business students.

Examples, Self-review boxes, and exercises after each major concept allow students to develop the skills and confidence to ''do'' statistics

Worked solutions to all odd-numbered text exercises in the back of book give students immediate feedback on more than just the correct answer, but how they should arrive at the correct one. Cumulative reviews after groups of chapters includes a glossary and exercises. Computer data exercises, using four large end-of-text data sets follow each chapter. These allow real world applications and analysis of data using techniques discussed in each chapter. Formula card with Pronunciation Key inserted into text give students another tool to help in their studies

1. What is Statistics?

2. Describing Data: Frequency Distributions and Graphic Presentation

3. Describing Data: Measures of Location

4. Describing Data: Measures of Dispersion

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. The Normal Probability Distribution

8. Sampling Methods and Sampling Distributions

9. Tests of Hypothesis: Large Samples

10. Tests of Hypothesis: Small Samples

11. Analysis of Variance

12. Linear Regression and Correlation

13. Multiple Regression and Correlation Analysis

14. Nonparametric Methods: Chi-Square Applications

15. Nonparametric Methods: Analysis of Ranked Data

16. Statistical Quality Control

17. Index Numbers

18. Time Series and Forecasting

19. An Introduction to Decision Making Under Uncertainty

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Summary

Comprehensive survey of statistical tools and methods in a student friendly step-by-step format. Concepts presented clearly and succinctly and then illustrated with solved examples. Supporting pedagogy reinforces concepts. Text is the best seller in this market

Excel and Minitab are used as examples in the chapter and the explanations of the computer commands are moved to the end of the chapter letting students focus on statistical techniques Data disk included with all copies of the book.

Statistics in Action boxes provide interesting applications and historical insights into statistics. Web exercises related to companies, government organizations, and university data sets enhance students use of data.

Cases added to Review Sections after groups of chapters challenges students to pull together the necessary material from more than one concept to consider business problems.

Pronunciation Key listing the math symbol, its meaning, and how to pronounce it follows at the end of chapter, helping students gain confidence in the language of statistics and retain the meaning of the symbol. Use of p-values integrated in the hypothesis testing discussions throughout the text. Material on quartiles reflects the use of the computer and is based on ungrouped rather than grouped data allowing student to focus on interpretation of the data. Regression and correlation analysis includes more realistic examples and more observations to emphasize decision making aspects. A new section describing the difference between dependent and independent samples with a discussion of why the p-values change when dependent and independent samples are used on the same data. Over 154 more exercises were added-an increase of 19 percent

Clear explanations supported by detailed step-by-step examples.

Complete coverage at the appropriate level for sophomore business students.

Examples, Self-review boxes, and exercises after each major concept allow students to develop the skills and confidence to ''do'' statistics

Worked solutions to all odd-numbered text exercises in the back of book give students immediate feedback on more than just the correct answer, but how they should arrive at the correct one. Cumulative reviews after groups of chapters includes a glossary and exercises. Computer data exercises, using four large end-of-text data sets follow each chapter. These allow real world applications and analysis of data using techniques discussed in each chapter. Formula card with Pronunciation Key inserted into text give students another tool to help in their studies

Table of Contents

1. What is Statistics?

2. Describing Data: Frequency Distributions and Graphic Presentation

3. Describing Data: Measures of Location

4. Describing Data: Measures of Dispersion

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. The Normal Probability Distribution

8. Sampling Methods and Sampling Distributions

9. Tests of Hypothesis: Large Samples

10. Tests of Hypothesis: Small Samples

11. Analysis of Variance

12. Linear Regression and Correlation

13. Multiple Regression and Correlation Analysis

14. Nonparametric Methods: Chi-Square Applications

15. Nonparametric Methods: Analysis of Ranked Data

16. Statistical Quality Control

17. Index Numbers

18. Time Series and Forecasting

19. An Introduction to Decision Making Under Uncertainty

Publisher Info

Publisher: Richard D. Irwin, Inc.

Published: 1999

International: No

Published: 1999

International: No

Excel and Minitab are used as examples in the chapter and the explanations of the computer commands are moved to the end of the chapter letting students focus on statistical techniques Data disk included with all copies of the book.

Statistics in Action boxes provide interesting applications and historical insights into statistics. Web exercises related to companies, government organizations, and university data sets enhance students use of data.

Cases added to Review Sections after groups of chapters challenges students to pull together the necessary material from more than one concept to consider business problems.

Pronunciation Key listing the math symbol, its meaning, and how to pronounce it follows at the end of chapter, helping students gain confidence in the language of statistics and retain the meaning of the symbol. Use of p-values integrated in the hypothesis testing discussions throughout the text. Material on quartiles reflects the use of the computer and is based on ungrouped rather than grouped data allowing student to focus on interpretation of the data. Regression and correlation analysis includes more realistic examples and more observations to emphasize decision making aspects. A new section describing the difference between dependent and independent samples with a discussion of why the p-values change when dependent and independent samples are used on the same data. Over 154 more exercises were added-an increase of 19 percent

Clear explanations supported by detailed step-by-step examples.

Complete coverage at the appropriate level for sophomore business students.

Examples, Self-review boxes, and exercises after each major concept allow students to develop the skills and confidence to ''do'' statistics

Worked solutions to all odd-numbered text exercises in the back of book give students immediate feedback on more than just the correct answer, but how they should arrive at the correct one. Cumulative reviews after groups of chapters includes a glossary and exercises. Computer data exercises, using four large end-of-text data sets follow each chapter. These allow real world applications and analysis of data using techniques discussed in each chapter. Formula card with Pronunciation Key inserted into text give students another tool to help in their studies

1. What is Statistics?

2. Describing Data: Frequency Distributions and Graphic Presentation

3. Describing Data: Measures of Location

4. Describing Data: Measures of Dispersion

5. A Survey of Probability Concepts

6. Discrete Probability Distributions

7. The Normal Probability Distribution

8. Sampling Methods and Sampling Distributions

9. Tests of Hypothesis: Large Samples

10. Tests of Hypothesis: Small Samples

11. Analysis of Variance

12. Linear Regression and Correlation

13. Multiple Regression and Correlation Analysis

14. Nonparametric Methods: Chi-Square Applications

15. Nonparametric Methods: Analysis of Ranked Data

16. Statistical Quality Control

17. Index Numbers

18. Time Series and Forecasting

19. An Introduction to Decision Making Under Uncertainty