LEADER 03882nam 2200421 450 001 996495169903316 005 20240205232622.0 010 $a9783031050107$b(electronic bk.) 010 $z9783031050091 035 $a(MiAaPQ)EBC7109245 035 $a(Au-PeEL)EBL7109245 035 $a(CKB)25087879200041 035 $a(PPN)265860970 035 $a(EXLCZ)9925087879200041 100 $a20230303d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEngineering statistics $ean introduction /$fEdward B. Magrab 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (176 pages) 311 08$aPrint version: Magrab, Edward B. Engineering Statistics Cham : Springer International Publishing AG,c2022 9783031050091 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Contents -- Chapter 1: Descriptive Statistics and Discrete Probability Distributions -- 1.1 Introduction -- 1.2 Definitions -- 1.3 Statistical Measures and the Display of Data -- 1.3.1 Histograms -- 1.3.2 Sample Median and Quartiles -- 1.3.3 Sample Mean and the Expected Value -- 1.3.4 Sample Variance -- 1.3.5 Probability Mass Function -- 1.3.6 Independent Random Variables -- 1.3.7 Unbiased Variance -- 1.4 Binomial and Poisson Distributions -- 1.4.1 Binomial Distribution -- 1.4.2 Poisson Distribution -- 1.5 Definitions Regarding Measurements -- 1.6 Exercises -- Chapter 2: Continuous Probability Distributions, Confidence Intervals, and Hypothesis Testing -- 2.1 Introduction -- 2.2 Continuous Probability Distributions -- 2.2.1 Introduction -- 2.2.2 Definitions Using Continuous Probability Distributions -- 2.3 Normal Distribution -- 2.3.1 Normal Distribution -- 2.3.2 Combining Independent Normally Distributed Random Variables -- 2.3.3 Probability Plots for the Normal Distribution -- 2.3.4 Central Limit Theorem -- 2.3.5 Lognormal Distribution -- 2.4 Chi Square Distribution -- 2.5 Student t Distribution -- 2.6 Differences in the Means -- 2.6.1 Paired Samples -- 2.7 f Distribution -- 2.8 Weibull Distribution -- 2.9 Hypothesis Testing -- 2.9.1 Introduction -- 2.9.2 p-Value -- 2.9.3 Examples of Hypothesis Testing -- 2.9.4 Type I and Type II Errors -- 2.10 Exercises -- Reference -- Chapter 3: Regression Analysis and the Analysis of Variance -- 3.1 Introduction -- 3.2 Simple Linear Regression and the Analysis of Variance -- 3.2.1 Simple Linear Regression -- 3.2.2 Analysis of Variance (ANOVA) -- 3.2.3 Analysis of Residuals -- 3.3 Multiple Linear Regression -- 3.4 Exercises -- Chapter 4: Experimental Design -- 4.1 Introduction -- 4.2 One-Factor Analysis of Variance -- 4.3 Randomized Complete Block Design -- 4.4 Two Factor Experiment. 330 $aThis book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. 606 $aEngineering$xStatistical methods 615 0$aEngineering$xStatistical methods. 700 $aMagrab$b Edward B.$0631441 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 801 2$bCASSSI 912 $a996495169903316 996 $aEngineering Statistics$92940567 997 $aUNISA