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Contemporary business statistics with Microsoft Excel / Thomas A. Williams, Dennis J. Sweeney and David R. Anderson

By: Contributor(s): Material type: TextTextPublication details: Cincinnati, Ohio : South-Western College Pub., ©2006.Description: xxxi, 941 p. : ill. ; 26 cmISBN:
  • 0324314426
Subject(s): DDC classification:
  • 519.5 WIL
Contents:
1. Data and Statistics. 2. Descriptive Statistics: Tabular andGraphical Methods. 3. Descriptive Statistics: Numerical Methods. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Testing. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences about Population Variances. 12. Tests of Goodness of Fit and Independence. 13. Analysis of Variance and Experimental Design. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Nonparametric Methods. 18. Statistical Methods for QualityControl. 19. Decision Analysis. 20. Sample Survey (located onCD). APPENDICES. A. References and Bibliography. B. Tables. C.Summation Notation. D. Self-Test Solutions and Answers toEven-Numbered Exercises. E. Excel Functions and the FunctionWizard.
Summary: Provides an introduction to business statistics and includes the real-world application of statistical methodology.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Book Mzumbe University Main Campus Library 519.5 WIL (Browse shelf(Opens below)) 1 Available 0056767
Book Mzumbe University Main Campus Library 519.5 WIL (Browse shelf(Opens below)) 2 Available 0056768
Book Mzumbe University Main Campus Library 519.5 WIL (Browse shelf(Opens below)) 3 Available 0056769
Total holds: 0

Includes index


1. Data and Statistics. 2. Descriptive Statistics: Tabular andGraphical Methods. 3. Descriptive Statistics: Numerical Methods. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Testing. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences about Population Variances. 12. Tests of Goodness of Fit and Independence. 13. Analysis of Variance and Experimental Design. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Nonparametric Methods. 18. Statistical Methods for QualityControl. 19. Decision Analysis. 20. Sample Survey (located onCD). APPENDICES. A. References and Bibliography. B. Tables. C.Summation Notation. D. Self-Test Solutions and Answers toEven-Numbered Exercises. E. Excel Functions and the FunctionWizard.

Provides an introduction to business statistics and includes the real-world application of statistical methodology.

eng

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