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Statistics for Management & Economics

By: Contributor(s): Material type: TextTextPublication details: Pacific Grove Thomson/Brooks/Cole 2003Description: 1 volume (various pagings) : illustrations (some color)ISBN:
  • 9780534491239
Subject(s): DDC classification:
  • 658.4033 KEL-S
Contents:
1. What Is Statistics? -- 2. Graphical Descriptive Techniques -- 3. Art and Science of Graphical Presentations -- 4. Numerical Descriptive Measures -- 5. Data Collection and Sampling -- 6. Probability and Discrete Probability Distributions -- 7. Continuous Probability Distributions -- 8. Sampling Distributions -- 9. Introduction to Estimation -- 10. Introduction to Hypothesis Testing -- 11. Inference About the Description of a Single Population -- 12. Inference About the Comparison of Two Populations -- 13. Statistical Inference: A Review of Chapters 11 and 12 -- 14. Analysis of Variance -- 15. Additional Test for Qualitative Data -- 16. Nonparametric Statistics -- 17. Simple Linear Regression and Correlation -- 18. Multiple Regression -- 19. Model Building -- 20. Time-Series Analysis and Forecasting -- 21. Statistical Process Control -- 22. Statistical Inference: Conclusion.
Summary: Teaches students how to apply statistics to real business problems through the authors' unique three-step approach to problem solving. Students learn to identify, compute and interpret the results in the context of the problem.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 658.4033 KEL-S (Browse shelf(Opens below)) Available DCB276

1. What Is Statistics? -- 2. Graphical Descriptive Techniques -- 3. Art and Science of Graphical Presentations -- 4. Numerical Descriptive Measures -- 5. Data Collection and Sampling -- 6. Probability and Discrete Probability Distributions -- 7. Continuous Probability Distributions -- 8. Sampling Distributions -- 9. Introduction to Estimation -- 10. Introduction to Hypothesis Testing -- 11. Inference About the Description of a Single Population -- 12. Inference About the Comparison of Two Populations -- 13. Statistical Inference: A Review of Chapters 11 and 12 -- 14. Analysis of Variance -- 15. Additional Test for Qualitative Data -- 16. Nonparametric Statistics -- 17. Simple Linear Regression and Correlation -- 18. Multiple Regression -- 19. Model Building -- 20. Time-Series Analysis and Forecasting -- 21. Statistical Process Control -- 22. Statistical Inference: Conclusion.

Teaches students how to apply statistics to real business problems through the authors' unique three-step approach to problem solving. Students learn to identify, compute and interpret the results in the context of the problem.

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