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Applied Statistics and Probability for Engineers (7版)

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作者
Montgomery
出版社
John Wiley
ISBN
9781119585534
版次
7
出版日期
2018/12

簡介

Applied Statistics and Probability for Engineers, 7th Edition provides a practical approach designed for engineering and science majors. Students learn how the material will be relevant in their careers through the integration of unique problem sets that reflect realistic applications and situations from research as well as the authors consulting experiences. Applied Statistics, 7e is suitable for either a one- or two-term course in probability and statistics. The 7th edition of this text focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of P-value, coverage of equivalence testing, combining p-values. The exposition, examples, exercises and answers in the text and WileyPLUS have been meticulously checked for accuracy. The 7th edition focuses on online course delivery to provide multiple channels of student engagement and self-study. ●New and expanded interactive features available in both WileyPLUS and the Interactive eText ●Over 100 video-based examples and problem walk-throughs. ●Check Your Understanding exercises are placed at the appropriate places in the eTextbook inside the WileyPLUS course. These simple practice exercises give students just-in-time reading comprehension self-assessment, perfect for assigning as a pre-lecture exercise. ●Video Lectures: Video lectures provide explanations of key course concepts.

目錄

1 The Role of Statistics in Engineering 2 Probability 3 Discrete Random Variables and Probability Distributions 4 Continuous Random Variables and Probability Distributions 5 Joint Probability Distributions 6 Descriptive Statistics 7 Point Estimation of Parameters and Sampling Distributions 8 Statistical Intervals for a Single Sample 9 Tests of Hypotheses for a Single Sample 10 Statistical Inference for Two Samples 11 Simple Linear Regression and Correlation 12 Multiple Linear Regression 13 Design and Analysis of Single-Factor Experiments: The Analysis of Variance 14 Design of Experiments with Several Factors 15 Statistical Quality Control APPENDIX A Statistical Tables and Charts APPENDIX B Bibliography APPENDIX C Summary of Confidence Intervals and Hypothesis Testing Equations for One and Two Sample Applications

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