Statistics for business and economics / David R. Anderson, Dennis J. Sweeney, Thomas A. Williams.

By: Contributor(s): Material type: TextTextPublication details: Australia ; Mason, Ohio : South-Western Cengage Learning, 2011.Edition: 11th edDescription: xxviii, 1080 p. : col. ill. ; 26 cm. 1 CDISBN:
  • 9780538471886
  • 0538471883
Subject(s): DDC classification:
  • 22 519.5
Contents:
1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Presentations. 3. Descriptive Statistics: Numerical Measures. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Tests. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences About Population Variances. 12. Test of Goodness of Fit and Independence. 13. Experimental Design and Analysis of Variance. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Index Numbers. 18. Forecasting. 19. Nonparametric Methods. 20. Statistical Methods for Quality Control. 21. Decision Analysis. 22. Sample Survey (on CD). Appendices. A: References and Bibliography. B: Tables. C: Summation Notation. D: Self-Test Solutions and Answers to Even-Numbered Exercises. E: Using Excel Functions. F: Computing p-values Using Minitab and Excel.
Summary: Demonstrates how statistical results provide insights into business decisions, and presents solutions to contemporary business problems. This title includes coverage of the statistical and business software to manage statistical information.
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Books Books Tan Tao University Reference Non-fiction 519.5 (Browse shelf(Opens below)) Not For Loan A-2012-0288

1. Data and Statistics. 2. Descriptive Statistics: Tabular and Graphical Presentations. 3. Descriptive Statistics: Numerical Measures. 4. Introduction to Probability. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Interval Estimation. 9. Hypothesis Tests. 10. Statistical Inference about Means and Proportions with Two Populations. 11. Inferences About Population Variances. 12. Test of Goodness of Fit and Independence. 13. Experimental Design and Analysis of Variance. 14. Simple Linear Regression. 15. Multiple Regression. 16. Regression Analysis: Model Building. 17. Index Numbers. 18. Forecasting. 19. Nonparametric Methods. 20. Statistical Methods for Quality Control. 21. Decision Analysis. 22. Sample Survey (on CD). Appendices. A: References and Bibliography. B: Tables. C: Summation Notation. D: Self-Test Solutions and Answers to Even-Numbered Exercises. E: Using Excel Functions. F: Computing p-values Using Minitab and Excel.

Demonstrates how statistical results provide insights into business decisions, and presents solutions to contemporary business problems. This title includes coverage of the statistical and business software to manage statistical information.

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