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Textbook in PDF format
Put statistical theories into practice with Probability and Statistics for Engineering and the Sciences, 10th Edition. This calculus-based approach offers a comprehensive introduction to probability models and statistical methods common in engineering and scientific disciplines. The authors place a strong emphasis on fundamental concepts, models and methodologies, while also providing the underlying rationale for each topic. With updated content, authentic problem scenarios in examples and exercises incorporate real-world data to demonstrate practical relevance.
Preface.
Overview and Descriptive Statistics.
Probability.
Discrete Random Variables and Probability Distributions.
Continuous Random Variables and Probability Distributions.
Joint Probability Distributions and Random Samples.
Point Estimation.
Statistical Intervals Based on a Single Sample.
Tests of Hypotheses Based on a Single Sample.
Inferences Based on Two Samples.
The Analysis of Variance.
Multifactor Analysis of Variance.
Simple Linear Regression and Correlation.
Nonlinear and Multiple Regression.
Goodness-of-Fit Tests and Categorical Data Analysis.
Distribution-Free Procedures.
Quality Control Methods.
Additional Topics Appendix.
Answers to Selected Odd-Numbered Exercises.
Glossary of Symbols/Abbreviations.
Index
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