| Titre : |
Statistics principles and methods |
| Type de document : |
texte imprimé |
| Auteurs : |
Richard E. Johnson, Auteur ; Gouri Bhattacharyya, Auteur |
| Editeur : |
New York : John Wiley & Sons |
| Année de publication : |
1985 |
| Importance : |
XV-578 p. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-471-85496-8 |
| Note générale : |
Index. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Statistics
Statistique
Statistique -- Problèmes et exercices |
| Index. décimale : |
519.2 Probabilités. Statistique mathématique |
| Résumé : |
It presents the key statistical concepts and the most commonly applied methods of statistical analysis. Moreover, to keep it acessible to freshmen and sophomores from a wide range of disciplines, we have avoided mathematical derivations. They usually pose a stumbling block to learning the essentials in a short period of time . |
| Note de contenu : |
Au sommaire :
- Organization and description of data
- Descriptive study of bivariate data
- Probability
- Probability distribution and its application in testing hypotheses
- The normal distribution
- Variation in repeated samples - Sampling distributions
- Drawing inferences from large samples
- Small-sample inferences for normal populations
- Comparing two treatments
- Regression analysis - 1 Simple linear regression
- Regression analysis - 2 Multiple linear regression and other topics ... |
Statistics principles and methods [texte imprimé] / Richard E. Johnson, Auteur ; Gouri Bhattacharyya, Auteur . - New York : John Wiley & Sons, 1985 . - XV-578 p. ; 24 cm. ISBN : 978-0-471-85496-8 Index. Langues : Anglais ( eng)
| Mots-clés : |
Statistics
Statistique
Statistique -- Problèmes et exercices |
| Index. décimale : |
519.2 Probabilités. Statistique mathématique |
| Résumé : |
It presents the key statistical concepts and the most commonly applied methods of statistical analysis. Moreover, to keep it acessible to freshmen and sophomores from a wide range of disciplines, we have avoided mathematical derivations. They usually pose a stumbling block to learning the essentials in a short period of time . |
| Note de contenu : |
Au sommaire :
- Organization and description of data
- Descriptive study of bivariate data
- Probability
- Probability distribution and its application in testing hypotheses
- The normal distribution
- Variation in repeated samples - Sampling distributions
- Drawing inferences from large samples
- Small-sample inferences for normal populations
- Comparing two treatments
- Regression analysis - 1 Simple linear regression
- Regression analysis - 2 Multiple linear regression and other topics ... |
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