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Statistical Methods
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Main description:This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.- Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions- Examples contain graphical illustration for ease of interpretation- Intended for use with almost any statistical software- Examples a...
Main description:
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.
- Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions
- Examples contain graphical illustration for ease of interpretation
- Intended for use with almost any statistical software
- Examples are worked to a logical conclusion, including interpretation of results
- A complete Instructor's Manual is available to adopters
Table of contents:
Preface; Data and Statistics; Probability and Sampling Distributions; Principles of Inference; Inferences on a Single Population; Inferences for Two Populations; Inferences for Two or More Means; Linear Regression; Multiple Regression; Factorial Experiments; Design of Experiments; Other Linear Models; Categorical data; Nonparametric Methods; Sampling and Sample Surveys; Appendix A; Appendix B - A Review of Matrices; References; Solutions to Selected Exercises; Index
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.
- Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions
- Examples contain graphical illustration for ease of interpretation
- Intended for use with almost any statistical software
- Examples are worked to a logical conclusion, including interpretation of results
- A complete Instructor's Manual is available to adopters
Table of contents:
Preface; Data and Statistics; Probability and Sampling Distributions; Principles of Inference; Inferences on a Single Population; Inferences for Two Populations; Inferences for Two or More Means; Linear Regression; Multiple Regression; Factorial Experiments; Design of Experiments; Other Linear Models; Categorical data; Nonparametric Methods; Sampling and Sample Surveys; Appendix A; Appendix B - A Review of Matrices; References; Solutions to Selected Exercises; Index