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Fundamentals of business statistics / Dennis J. Sweeney, Thomas A. Williams, David R. Anderson.

By: Contributor(s): Material type: TextTextPublisher: South-Western : Cengage Learning, [2009]Copyright date: c2009Edition: fifth editionDescription: xv, 656 pages : color illustrations ; 26 cm. + 1 computer discContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0675203333 (pbk.)
Subject(s): DDC classification:
  • 519.5024658 S.D.F 22
LOC classification:
  • HF1017 .H29 1986
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. Comparisons Involving Means, Experimental Design, and Analysis of Variance. 11. Comparisons Involving Proportions and a Test of Independence. 12. Simple Linear Regression. 13. Multiple Regression.
Summary: This text is intended for managers and decision makers who would like to have a better understanding of the vast amounts of statistical information in today's global business and economic environment
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books Main library A8 Commerce and business administration ( Finance ) 519.5024658 S.D.F (Browse shelf(Opens below)) Available 00011335

Includes bibliographical references and index.

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. Comparisons Involving Means, Experimental Design, and Analysis of Variance. 11. Comparisons Involving Proportions and a Test of Independence. 12. Simple Linear Regression. 13. Multiple Regression.

This text is intended for managers and decision makers who would like to have a better understanding of the vast amounts of statistical information in today's global business and economic environment

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