LEADER 05297nam 2200625Ia 450 001 9910457359203321 005 20200520144314.0 010 $a1-281-04953-0 010 $a9786611049539 010 $a0-08-048975-3 035 $a(CKB)1000000000349987 035 $a(EBL)294376 035 $a(OCoLC)476058251 035 $a(SSID)ssj0000251166 035 $a(PQKBManifestationID)11238823 035 $a(PQKBTitleCode)TC0000251166 035 $a(PQKBWorkID)10262457 035 $a(PQKB)10135296 035 $a(MiAaPQ)EBC294376 035 $a(PPN)170242900 035 $a(Au-PeEL)EBL294376 035 $a(CaPaEBR)ebr10186531 035 $a(CaONFJC)MIL104953 035 $a(EXLCZ)991000000000349987 100 $a20030620d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistics and probability for engineering applications with Microsoft Excel$b[electronic resource] /$fby W. J. DeCoursey 210 $aAmsterdam ;$aBoston $cNewnes$dc2003 215 $a1 online resource (417 p.) 300 $aDescription based upon print version of record. 311 $a0-7506-7618-3 320 $aIncludes bibliographical references and index. 327 $aCover; Statistics and Probability for Engineering Applications; Copyright Page; Contents; Preface; List of Symbols; Chapter 1. Introduction: Probability and Statistics; 1.1 Some Important Terms; 1.2 What does this book contain?; Chapter 2. Basic Probability; 2.1 Fundamental Concepts; 2.2 Basic Rules of Combining Probabilities; 2.3 Permutations and Combinations; 2.4 More Complex Problems: Bayes' Rule; Chapter 3. Descriptive Statistics: Summary Numbers; 3.1 Central Location; 3.2 Variability or Spread of the Data; 3.3 Quartiles, Deciles, Percentiles, and Quantiles 327 $a3.4 Using a Computer to Calculate Summary NumbersChapter 4. Grouped Frequencies and Graphical Descriptions; 4.1 Stem-and-Leaf Displays; 4.2 Box Plots; 4.3 Frequency Graphs of Discrete Data; 4.4 Continuous Data: Grouped Frequency; 4.5 Use of Computers; Chapter 5. Probability Distributions of Discrete Variables; 5.1 Probability Functions and Distribution Functions; 5.2 Expectation and Variance; 5.3 Binomial Distribution; 5.4 Poisson Distribution; 5.5 Extension: Other Discrete Distributions; 5.6 Relation Between Probability Distributions and Frequency Distributions 327 $aChapter 6. Probability Distributions of Continuous Variables6.1 Probability from the Probability Density Function; 6.2 Expected Value and Variance; 6.3 Extension: Useful Continuous Distributions; 6.4 Extension: Reliability; Chapter 7. The Normal Distribution; 7.1 Characteristics; 7.2 Probability from the Probability Density Function; 7.3 Using Tables for the Normal Distribution; 7.4 Using the Computer; 7.5 Fitting the Normal Distribution to Frequency Data; 7.6 Normal Approximation to a Binomial Distribution; 7.7 Fitting the Normal Distribution to Cumulative Frequency Data 327 $a7.8 Transformation of Variables to Give a Normal DistributionChapter 8. Sampling and Combination of Variables; 8.1 Sampling; 8.2 Linear Combination of Independent Variables; 8.3 Variance of Sample Means; 8.4 Shape of Distribution of Sample Means: Central Limit Theorem; Chapter 9. Statistical Inferences for the Mean; 9.1 Inferences for the Mean when Variance Is Known; 9.2 Inferences for the Mean when Variance Is Estimated from a Sample; Chapter 10. Statistical Inferences for Variance and Proportion; 10.1 Inferences for Variance; 10.2 Inferences for Proportion 327 $aChapter 11. Introduction to Design of Experiments11.1 Experimentation vs. Use of Routine Operating Data; 11.2 Scale of Experimentation; 11.3 One-factor-at-a-time vs. Factorial Design; 11.4 Replication; 11.5 Bias Due to Interfering Factors; 11.6 Fractional Factorial Designs; Chapter 12. Introduction to Analysis of Variance; 12.1 One-way Analysis of Variance; 12.2 Two-way Analysis of Variance; 12.3 Analysis of Randomized Block Design; 12.4 Concluding Remarks; Chapter 13. Chi-squared Test for Frequency Distributions; 13.1 Calculation of the Chi-squared Function; 13.2 Case of Equal Probabilities 327 $a13.3 Goodness of Fit 330 $aMore than ever, American industry- especially the semiconductor industry- is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical know-how, yet engineers in industry typically are not well-prepared to use statistics and they are fuzzy about how to apply statistical tools and techniques. This valuable reference makes statistical methods easier and more accessible to engineers.Although the book can be read sequentially, like a normal textbook, it is designed to be used as a handboo 606 $aEngineering$xStatistical methods 608 $aElectronic books. 615 0$aEngineering$xStatistical methods. 676 $a620.001/5195 700 $aDeCoursey$b W. J$g(William J.)$0924191 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457359203321 996 $aStatistics and probability for engineering applications with Microsoft Excel$92074051 997 $aUNINA