Introduction to probability & statistics / William Mendenhall, Robert J. Beaver and Barbara M. Braver

By: Material type: TextTextPublication details: New York : Duxbury Press, c1999Edition: Tenth EditionDescription: xvii, 766 pages : illustrations ; 24 cmISBN:
  • 534357784
LOC classification:
  • QA 276 .M425 1999
Contents:
Chapter1. Describing data with graphs -- Chapter2. Describing data with numerical measures -- Chapter3. Describing bivariate data -- Chapter4. Probability and probability distribution -- Chapter5. Several useful discrete distribution -- Chapter6. The normal probability distribution -- Chapter7. Sampling distributions -- Chapter8. Large-sample estimation -- Chapter9. Large-sample test of hypotheses -- Chapter10. Inference from small samples -- Chapter11. The analysis of variance -- Chapter12. Linear regression and correlation -- Chapter13. Multiple regression analysis -- Chapter14. Analysis of categorical data -- Chapter15. Nonparametric statistics .
Summary: With the information revolution of the 1990s came an increase dependency on computers which are now a common tool for college students in all disciplines, In this tenth edition of Introduction to Probability and Statistics, we have used the computational shortcuts that computers provide that gives us more time to emphasize statistical reasoning as well as the understanding and interpretation of statistical results .
Item type: Books
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Annex General Circulation General Education GC QA 276 .M425 1999 (Browse shelf(Opens below)) c.1 Available NULIB000009870

Includes index.

Chapter1. Describing data with graphs -- Chapter2. Describing data with numerical measures -- Chapter3. Describing bivariate data -- Chapter4. Probability and probability distribution -- Chapter5. Several useful discrete distribution -- Chapter6. The normal probability distribution -- Chapter7. Sampling distributions -- Chapter8. Large-sample estimation -- Chapter9. Large-sample test of hypotheses -- Chapter10. Inference from small samples -- Chapter11. The analysis of variance -- Chapter12. Linear regression and correlation -- Chapter13. Multiple regression analysis -- Chapter14. Analysis of categorical data -- Chapter15. Nonparametric statistics .

With the information revolution of the 1990s came an increase dependency on computers which are now a common tool for college students in all disciplines, In this tenth edition of Introduction to Probability and Statistics, we have used the computational shortcuts that computers provide that gives us more time to emphasize statistical reasoning as well as the understanding and interpretation of statistical results .

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