Summary: The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applica
tions, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.
Summary: The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book. ...show less
Edition/Copyright:98 Cover: Publisher:Prentice Hall, Inc. Year Published: 1998 International: No
View Table of Contents
1. Data and Statistical Methods. 2. Populations, Variables, Parameters, Samples. 3. Confidence Intervals for a Population Proportion. 4. Processing Data. 5. Median and Interquartile Range; Mean and Standard Deviation. 6. The Normal Populations. 7. Inference for a Population Mean and Median for any Population. 8. Statistical Tests. 9. Simple Linear Regression.
Interlude. Critical Assessment of Statistical Studies.
10. Comparing Population Properties; Contingency Tables. 11. Comparing Population Means. 12. Multiple Regression. 13. Process Improvement. 14. Sample Surveys.
Appendix A: Answers to Odd-Numbered Exercises. Appendix B: Calculus Scores Data. Appendix C: A Brief Introduction to Minitab. Index.
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