Description 
172 pages : illustrations ; 24 cm 
Contents 
Machine derived contents note: Introduction. 1: Description. Populations, Distributions, and Samples. Measures of Central Tendency. Data Dispersion, Noise, and Error. Graphics. 2: Inference. Comparing a Sample Mean to a Population with Known Mean and Variance The One Sample zTest. Comparing a Sample Mean to a Population with Known Mean and Unknown Variance  The One Sample tTest. Comparing Before and After Data  The Two Sample Paired tTest. Comparing Two Means  The Two Sample Unpaired tTest. Comparing Three or More Means The One Way Analysis of Variance. Comparing Two or More Proportions: Proportions Tests and ChiSquare (chi2). DistributionFree Measures: NonParametric Tests. 3: Estimation. Data Relationships: Association and Correlation. Data Relationships: Mathematical Models and Linear Regression. Complex Data Relationships: Mathematical Models and NonLinear Regression. 4: Design of a Statistical Experiment. Index 
Summary 
Good statistical design of experimental and analytical methods is a fundamental component of successful research. The set of tools that has evolved to implement these processes of design and analysis is called Biostatistics. Using these tools blindly or by rote is a recipe for failure. This book is intended for the research scientist who wants to understand why they do a particular test or analysis as well as how to do it. It is meant as an interpreter as well as a guide, helping the researcher to illuminate and communicate his or her results as accurately, concisely, and universally as possible 
Notes 
Includes index 
Subject 
Biometry.


Medicine  Research  Statistical methods.

Author 
Schofield, Timothy.

LC no. 
95048001 
ISBN 
0792338847 (hardcover) 

0792341058 (limp cover) 
