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AuthorMcPherson, Glen. author
TitleStatistics in Scientific Investigation [electronic resource] : Its Basis, Application, and Interpretation / by Glen McPherson
ImprintNew York, NY : Springer New York : Imprint: Springer, 1990
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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 Experimenterโ{128}{153}s 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{128}{153} View -- 9 Examining Proportions and Success Rates -- 10 Model and Data Checking -- 11 Questions About the โ{128}{156}Averageโ{128}{157} 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

Statistics Statistics Statistics for Business/Economics/Mathematical Finance/Insurance Statistics for Life Sciences Medicine Health Sciences


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