Principles of Statistics for Engineers and Scientists, 2nd Edition
- Length: 624 pages
- Edition: 2
- Language: English
- Publisher: McGraw-Hill Education
- Publication Date: 2020-01-27
- ISBN-10: 1260257819
- ISBN-13: 9781260257816
- Sales Rank: #5062385 (See Top 100 Books)
Available for the first time in McGraw-Hill’s Connect! Principles of Statistics for Engineers and Scientists emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many examples that feature real, contemporary data sets, both to motivate students and to show connections to industry and scientific research. Because statistical analyses are done on computers, the book contains exercises and examples that involve interpreting, as well as generating, computer output. This book may be used effectively with any software package.
Cover Title Page Copyright Page Dedication About The Author Contents Preface Acknowledgments Chapter 1 Summarizing Univariate Data Introduction 1.1 Sampling 1.2 Summary Statistics 1.3 Graphical Summaries Chapter 2 Summarizing Bivariate Data Introduction 2.1 The Correlation Coefficient 2.2 The Least-Squares Line 2.3 Features and Limitations of the Least-Squares Line Chapter 3 Probability Introduction 3.1 Basic Ideas 3.2 Conditional Probability and Independence 3.3 Random Variables 3.4 Functions of Random Variables Chapter 4 Commonly Used Distributions Introduction 4.1 The Binomial Distribution 4.2 The Poisson Distribution 4.3 The Normal Distribution 4.4 The Lognormal Distribution 4.5 The Exponential Distribution 4.6 Some Other Continuous Distributions 4.7 Probability Plots 4.8 The Central Limit Theorem Chapter 5 Point and Interval Estimation for a Single Sample Introduction 5.1 Point Estimation 5.2 Large-Sample Confidence Intervals for a Population Mean 5.3 Confidence Intervals for Proportions 5.4 Small-Sample Confidence Intervals for a Population Mean 5.5 Prediction Intervals and Tolerance Intervals Chapter 6 Hypothesis Tests for a Single Sample Introduction 6.1 Large-Sample Tests for a Population Mean 6.2 Drawing Conclusions from the Results of Hypothesis Tests 6.3 Tests for a Population Proportion 6.4 Small-Sample Tests for a Population Mean 6.5 The Chi-Square Test 6.6 Fixed-Level Testing 6.7 Power 6.8 Multiple Tests Chapter 7 Inferences for Two Samples Introduction 7.1 Large-Sample Inferences on the Difference Between Two Population Means 7.2 Inferences on the Difference Between Two Proportions 7.3 Small-Sample Inferences on the Difference Between Two Means 7.4 Inferences Using Paired Data 7.5 Tests for Variances of Normal Populations Chapter 8 Inference in Linear Models Introduction 8.1 Inferences Using the Least-Squares Coefficients 8.2 Checking Assumptions 8.3 Multiple Regression 8.4 Model Selection Chapter 9 Factorial Experiments Introduction 9.1 One-Factor Experiments 9.2 Pairwise Comparisons in One-Factor Experiments 9.3 Two-Factor Experiments 9.4 Randomized Complete Block Designs 9.5 2p Factorial Experiments Chapter 10 Statistical Quality Control Introduction 10.1 Basic Ideas 10.2 Control Charts for Variables 10.3 Control Charts for Attributes 10.4 The CUSUM Chart 10.5 Process Capability Appendix A: Tables Appendix B: Bibliography Answers to Selected Exercises Index
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