How to Cheat with Statistics — and Get Away with It

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The book explains how to identify and catch statistical cheaters. The author came across many weaknesses and flaws in statistics through 30 years of teaching. These weaknesses allow a malevolent researcher to manipulate the inputs, the calculations, and the reporting of results to derive a desired outcome. This book should be valuable to everyone who wants to gain a deeper understanding of the weaknesses in statistics and learn how to evaluate statistical research to catch a statistical cheater! The math is explained in simple terms and should be easy to follow. In addition, the book comes with 18 Excel spreadsheets and 7 Python codes. There are also questions and problems at the end of each chapter, which should facilitate the usage in a classroom. Answers to the questions and problems are available to instructors upon request.

Applied Statistics and Probability for Engineers (7版)

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書名：Applied Statistics and Probability for Engineers 7/e Asia Edition 作者：Montgomery 出版社：WILEY 出版日期：2019/00/00 ISBN：9781119718871 內容簡介 ●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. 內容簡介 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