Understanding statistics / Graham Upton, Ian Cook
Tipo de material: TextoDetalles de publicación: Oxford : Oxford University Press, 1997 Descripción: XIII, 657 p. : il. ; 28 cmISBN: 0-19-914391-9Tema(s): EstadísticaResumen: This is an excellent new text, which meets the A-level requirements of Statistics as a subject in its own right and as a part of Mathematics. It is also a very thorough introduction to the subject for students in higher education who need a grounding in Statistics related to other disciplines. The book is written in a friendly style, with lively text, interesting contexts, and potted biographies of significant mathematicians. It includes a huge number of worked examples and exercises, and over 80 projects, which give students the confidence to put theory into practice.Resumen: Índice: 1. Summary diagrams and tables; 2. General summary statistics; 3. Special summary statistics; 4. Data sources; 5. Probability; 6. Conditional probability; 7. Probability distributions and expectations; 8. Expectation algebra; 9. The bionomial distribution; 10. The Poisson distribution; 11. Continuous random variables; 12. The normal distribution; 13. Sampling and simulation; 14. Point and interval and estimation; 15. Hypothesis tests; 16. Hypothesis tests: error and problems; 17. Two samples and paired samples; 18. Goodness of fit; 19. Handling variances; 20. Regression and correlation; 21. Experimental de... Etc.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Bibliografía
This is an excellent new text, which meets the A-level requirements of Statistics as a subject in its own right and as a part of Mathematics. It is also a very thorough introduction to the subject for students in higher education who need a grounding in Statistics related to other disciplines. The book is written in a friendly style, with lively text, interesting contexts, and potted biographies of significant mathematicians. It includes a huge number of worked examples and exercises, and over 80 projects, which give students the confidence to put theory into practice.
Índice: 1. Summary diagrams and tables; 2. General summary statistics; 3. Special summary statistics; 4. Data sources; 5. Probability; 6. Conditional probability; 7. Probability distributions and expectations; 8. Expectation algebra; 9. The bionomial distribution; 10. The Poisson distribution; 11. Continuous random variables; 12. The normal distribution; 13. Sampling and simulation; 14. Point and interval and estimation; 15. Hypothesis tests; 16. Hypothesis tests: error and problems; 17. Two samples and paired samples; 18. Goodness of fit; 19. Handling variances; 20. Regression and correlation; 21. Experimental de... Etc.
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