Author	McPherson, Glen. author
Title	Statistics in Scientific Investigation [electronic resource] : Its Basis, Application, and Interpretation / by Glen McPherson
Imprint	New York, NY : Springer New York : Imprint: Springer, 1990
Connect to	http://dx.doi.org/10.1007/978-1-4757-4290-9
Descript	XXVI, 667 p. online resource

In this book I have taken on the challenge of providing an insight into Statistics and a blueprint for statistical application for a wide audience. For students in the sciences and related professional areas and for researchers who may need to apply Statistics in the course of scientific experimentaยญ tion, the development emphasizes the manner in which Statistics fits into the framework of the scientific method. Mathematics students will find a unified, but non-mathematical structure for Statistics which can provide the motivation for the theoretical development found in standard texts on theoretical Statistics. For statisticians and students of Statistics, the ideas contained in the book and their manner of development may aid in the deยญ velopment of better communications between scientists and statisticians. The demands made of readers are twofold: a minimal mathematical prerequisite which is simply an ability to comprehend formulae containing mathematical variables, such as those derived from a high school course in algebra or the equivalent; a grasp of the process of scientific modeling which comes with eiยญ ther experience in scientific experimentation or practice with solving mathematical problems

1 The Role of Statistics in Scientific Investigation -- 2 Data: The Factual Information -- 3 Statistical Models: The Experimenterโs View -- 4 Comparing Model and Data -- 5 Probability: A Fundamental Tool of Statistics -- 6 Some Widely Used Statistical Models -- 7 Some Important Statistics and Their Sampling Distributions -- 8 Statistical Analysis: The Statisticiansโ View -- 9 Examining Proportions and Success Rates -- 10 Model and Data Checking -- 11 Questions About the โAverageโ Value -- 12 Comparing Two Groups, Treatments or Processes -- 13 Observational Studies, Surveys and Designed Experiments -- 14 Comparing More Than Two Treatments or Groups -- 15 Comparing Mean Response When There Are Three or More Treatments -- 16 Comparing Patterns of Response: Frequency Tables -- 17 Studying Association and Correlation -- 18 Prediction and Estimation: The Role of Explanatory Variables -- 19 Questions About Variability -- 20 Cause and Effect: Statistical Perspectives -- 21 Studying Change in Response over Time -- 22 Computers and Statistics -- Appendix A: Tables for Some Common Probability Distributions -- References -- Figure, Table, and Example Index

1. Statistics
2. Statistics
3. Statistics for Business/Economics/Mathematical Finance/Insurance
4. Statistics for Life Sciences
5. Medicine
6. Health Sciences