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Statistics for management and economics / Gerald Keller.

By: Material type: TextTextPublication details: Australia : Cengage Learning, [ 2014]Edition: 10eDescription: xxiii, 909 p. : color illustrations ; 27 cmISBN:
  • 9781285425450
Subject(s): LOC classification:
  • HD30.215  .K45 2014
Contents:
1. What is Statistics? 2. Graphical Descriptive Techniques I. 3. Graphical Descriptive Techniques II. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. 12. Inference about a Population. 13. Inference about Comparing Two Populations. 14. Analysis of Variance. 15. Chi-Squared Tests. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. 19. Nonparametric Statistics. 20. Time-Series Analysis and Forecasting. 21. Statistical Process Control. 22. Decision Analysis. 23. Conclusion. Appendix A. Data File Sample Statistics. Appendix B. Tables. Appendix C. Answers to Selected Even-Numbered Exercises. Index.
Item type: Books List(s) this item appears in: Statistics
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library General Stacks Books HD 30.215 .K45 2014 (Browse shelf(Opens below)) AUA017605 Available AUA017605
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HD 30.2 .H32 2009 Business driven technology / HD 30.2 .H32 2009 Business driven technology / HD 30.2 .H32 2009 Business driven technology / HD 30.215 .K45 2014 Statistics for management and economics / HD 30.22 .H57 2009 Managerial economics / HD 30.23 .G86 2008 The truth about making smart decisions / HD 30.23 .M35 2007 Make effective decisions :

Previously published: Mason, OH : South-Western Cengage Learning, c2012.

Includes index.

1. What is Statistics? 2. Graphical Descriptive Techniques I. 3. Graphical Descriptive Techniques II. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. 12. Inference about a Population. 13. Inference about Comparing Two Populations. 14. Analysis of Variance. 15. Chi-Squared Tests. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. 19. Nonparametric Statistics. 20. Time-Series Analysis and Forecasting. 21. Statistical Process Control. 22. Decision Analysis. 23. Conclusion. Appendix A. Data File Sample Statistics. Appendix B. Tables. Appendix C. Answers to Selected Even-Numbered Exercises. Index.