Encouraging the extensive use of computers, this non-calculus introduction to statistical methods and applications contains printouts from the SAS and MINITAB statistical software packages. The edition has been updated and revised to include new topics, such as logistic and stepwise regression techniques. Among the subjects covered are descriptive statistics, estimation, hypothesis testing, analysis of variance, regression analysis (simple, multiple, stepwise and logistic), contingency table analysis, nonparametric statistics, and vital statistics.
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Develop the statistical tools needed in the allied health fields
Anyone entering the allied health field needs to have a working understanding of how data can be turned into useful information. Now in its ninth edition, Wayne W. Daniel s Biostatistics: A Foundation for Analysis in the Health Sciences provides a comprehensive introduction to biostatistics as it is used in the biological sciences.
Designed for the undergraduate and graduate student across a range of fields, from the health disciplines to forestry and animal husbandry, the text takes an applied and computer–oriented approach to its topical coverage. Its chapters take you from the basic concepts of probability through hypothesis testing, linear regression and correlation, the analysis of variance, chi–square distribution, nonparametric and distribution–free statistics, and more.
This new edition adds much new and expanded material, including such features as:
The Silver Anniversary edition of this classic text takes a more applied and computer–oriented approach to its topical coverage. The book is intended for a one or two semester course in Biostatistics at the undergraduate or graduate level offered by departments of Biostatistics, Statistics, Mathematics, Nursing and other Allied Health disciplines, occasionally of Forestry or Animal Husbandry. Nearly all the examples and exercises make use of real data from actual research projects and reports from health sciences literature. Where appropriate, Minitab, SPSS and SAS commands and printouts are included as part of the examples and solutions to exercises.
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