Statistical Methods in Environmental Health - Pearson, J.C.G.; Turton, A.; - Prospero Internetes Könyváruház

Statistical Methods in Environmental Health

 
Kiadás sorszáma: 1
Kiadó: Chapman and Hall
Megjelenés dátuma:
 
Normál ár:

Kiadói listaár:
GBP 9.99
Becsült forint ár:
5 244 Ft (4 995 Ft + 5% áfa)
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Az Ön ára:

4 720 (4 496 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 524 Ft)
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Rövid leírás:

The collection and interpretation of technical and demographic data form an essential part of the environmental health officer's function. This book provides a basic introduction to statistical methods, with a wide range of examples from the field of environmental and public health. It will enable the reader to understand statistical analyses encountered in the literature, carry out sample analysis and to discuss more complex analyses with statistical advisers. Each chapter contains a set of exercises and solutions.

Hosszú leírás:
A popular learning resource becomes even more essential in its new Second Edition! Revised features include new and revised exercises; a broad range of practical and relevant case studies; and expanded theoretical concepts. The book emphasizes the practical application of statistics, and provides examples in various fields of environmental and agriculture sciences.

"A basic introduction to statistical methods that includes a wide range of examples of their application to the collection and interpretation of technical and demographic data in environmental health. Addressed to professionals in the field who have no previous background in statistics."
-SciTechBook News

"... the book is very readable, it is also a practical workbook... it can be recommended as the product of well-recognized and appreciated teachers."
-Journal of Public Health Medicine

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Tartalomjegyzék:
Common sense, statistical reasoning and hypothesis testing. Basic statistics. Tests of hypotheses. The normal distribution, probability and hypothesis testing. Tests involving means. Estimation and confidence limits. Tests involving percentages. Correlation and regression. Non-parametric statistics. Estimation of sample size. Vital statistics. Sources of statistical data. Solutions to exercises. Index.