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Statistics for the engineering and computer sciences / William Mendenhall and Terry Sincich.

By: Contributor(s): Material type: TextTextPublication details: California : Dellen Publishing Company, c1984Description: xii, 879 pages ; 24 cmISBN:
  • 089517054X
Subject(s): LOC classification:
  • QA 276 .M46 1984
Contents:
1. Some Basic concepts -- 2. Using the computer -- 3. Probability -- 4. Discrete random variables -- 5. Continuous random variables -- 6. Bivariate probability distribution -- 7. Sampling distribution -- 8. Estimation -- 9. Tests of hypotheses -- 10. Simple linear regression analysis -- 11. Multiple regression analysis -- 12. Introduction to model building -- 13. The analysis of variance for designed experiments -- 14. The analysis of variance for nested sampling designs -- 15. The analysis of enumerative data -- 16. Nonparametric statistics -- 17. Applications: product and system reliability -- 18. Applications: quality control.
Summary: This is a text for a two-semester introductory course in statistics for students majoring in engineering, the physical sciences, or computer science.
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 Relegation Room Gen. Ed. - COE GC QA 276 .M46 1984 (Browse shelf(Opens below)) c.1 Available NULIB000006252
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GC Q 161.2 .S33 1987 Introductory physical science / GC QA 154.2 .L45 1989 College algebra and trigonometry / GC QA 154.2 .R44 1977 College algebra / GC QA 276 .M46 1984 Statistics for the engineering and computer sciences / GC QA 303 .F35 1987 Calculus / GC QA 303 .M33 1972 Calculus / GC QA 453 .P35 1918 Plane and solid geometry /

Includes index.

1. Some Basic concepts -- 2. Using the computer -- 3. Probability -- 4. Discrete random variables -- 5. Continuous random variables -- 6. Bivariate probability distribution -- 7. Sampling distribution -- 8. Estimation -- 9. Tests of hypotheses -- 10. Simple linear regression analysis -- 11. Multiple regression analysis -- 12. Introduction to model building -- 13. The analysis of variance for designed experiments -- 14. The analysis of variance for nested sampling designs -- 15. The analysis of enumerative data -- 16. Nonparametric statistics -- 17. Applications: product and system reliability -- 18. Applications: quality control.

This is a text for a two-semester introductory course in statistics for students majoring in engineering, the physical sciences, or computer science.

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