LEADER 04111nam 2200661 450 001 9910787148903321 005 20230120042511.0 010 $a0-87421-970-1 035 $a(CKB)3710000000260856 035 $a(EBL)3442932 035 $a(SSID)ssj0001350679 035 $a(PQKBManifestationID)11776182 035 $a(PQKBTitleCode)TC0001350679 035 $a(PQKBWorkID)11295779 035 $a(PQKB)10442964 035 $a(OCoLC)893010155 035 $a(MdBmJHUP)muse35657 035 $a(Au-PeEL)EBL3442932 035 $a(CaPaEBR)ebr10951826 035 $a(Au-PeEL)EBL1816178 035 $a(CaPaEBR)ebr11217474 035 $a(MiAaPQ)EBC3442932 035 $a(MiAaPQ)EBC1816178 035 $a(EXLCZ)993710000000260856 100 $a20141014h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aScience, bread, and circuses $efolkloristic essays on science for the masses /$fGregory Schrempp 210 1$aBoulder, Colorado :$cUtah State University Press,$d2014. 210 4$dİ2014 215 $a1 online resource (178 p.) 300 $aDescription based upon print version of record. 311 $a0-87421-969-8 320 $aIncludes bibliographical references and index. 327 $aContents; Acknowledgments; Introduction; Chapter 1. Formulas of Conversion: A Proverbial Approach to Astronomic Magnitudes; Chapter 2. Leonardo and Copernicus at Aspen: How Science Heroes Can Improve Your Bottom Line; Chapter 3. Opening the Two Totes: Mythos and Logos in the Contemporary Agora-sphere; Chapter 4. Taking the Dawkins Challenge: On Fairy Tales, Viruses, and the Dark Side of the Meme; Chapter 5. The Biggest Losers: A Sensible Plan for Controlling Your Cosmic Appetite; Chapter 6. It's a Wonderfully Conflicted Life! : The Survival of Mythology in the Capra-Corn Cosmos 327 $aChapter 7. Departures from Earth I: The Ferris Wheel and the Deep-Space ProbeChapter 8. Departures from Earth II: The Reason(s) for the Tragedy of Space Shuttle Columbia; Chapter 9. "Goodbye Spoony Juney Moon": A Mythological Reading of Tom Stoppard's Jumpers; Chapter 10. Is Lucretius a God? : Epic, Science, and Prescience in De Rerum Natura; References; Filmography; About the Author; Index 330 $a"In Science, Bread, and Circuses, Gregory Schrempp brings a folkloristic slant to the topic of popular science, calling attention to the persistence of folkloric form, idiom, and worldview within the increasingly important dimension of popular consciousness defined by the impact of science. Schrempp considers specific examples of texts in which science writers employ folkloric tropes--myths, legends, proverbs, or a variety of gestures from religious tradition--to lend authority or credibility to their message. In each essay he explores an instance of science popularization rooted in the quotidian round: variations of folkloric formulae in monumental measurements, invocations of science-heroes like saints or other inspirational figures, the battle of mythos and logo in parenting and academe; how the meme has become embroiled in quasi-religious treatments of the problem of evil, and a range of other tropes of folklore drafted into the service of exposition of scientific topics. Science, Bread, and Circuses places the relationship of science and folklore is at the very center of folkloristic inquiry in an attempt to rephrase and thus domesticate scientific findings and claims in folklorically-imbued popular forms"--$cProvided by publisher. 606 $aScience in popular culture 606 $aFolklore 606 $aLegends 606 $aMythology 615 0$aScience in popular culture. 615 0$aFolklore. 615 0$aLegends. 615 0$aMythology. 676 $a303.48/3 686 $aSOC011000$2bisacsh 700 $aSchrempp$b Gregory Allen$f1950-$01539951 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910787148903321 996 $aScience, bread, and circuses$93791177 997 $aUNINA LEADER 05176nam 2200733 a 450 001 9910817051503321 005 20240313135641.0 010 $a9781118307502 010 $a111830750X 010 $a9781299188686 010 $a1299188680 010 $a9781118307533 010 $a1118307534 010 $a9781118307526 010 $a1118307526 035 $a(CKB)2670000000327514 035 $a(EBL)1119801 035 $a(OCoLC)827208012 035 $a(MiAaPQ)EBC1119801 035 $a(DLC) 2012048634 035 $a(Au-PeEL)EBL1119801 035 $a(CaPaEBR)ebr10657930 035 $a(CaONFJC)MIL450118 035 $a(PPN)192205021 035 $a(OCoLC)807025790 035 $a(FINmELB)ELB177986 035 $a(Perlego)1003675 035 $a(EXLCZ)992670000000327514 100 $a20121130d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aProblem solving and data analysis using Minitab $ea clear and easy guide to six sigma methodology /$fRehman M. Khan 205 $a1st ed. 210 $aChichester, West Sussex, U.K. $cWiley$d2013 215 $a1 online resource (485 p.) 300 $aIncludes index. 311 08$a9781118307571 311 08$a1118307577 327 $aCover; Title Page; Copyright; Contents; Acknowledgements; Chapter 1 Introduction; Chapter 2 Minitab Navigation; 2.1 Windows; 2.2 Dropdown Menus; 2.3 Importing Data; 2.4 Column Formats; 2.5 The Calculator; 2.6 Basic Graphs; 2.7 Adding Detail to Graphs; 2.8 Saving Graphs; 2.9 Dotplots; 2.10 Using the Brush; 2.11 Boxplots; 2.12 Bar Charts; 2.13 The Layout Tool; 2.14 Producing Graphs with the Assistant; 2.15 Producing Reports; 2.16 Creating a New Project/Worksheet Button; Chapter 3 Basic Statistics; 3.1 Types of Data; 3.2 Central Location; 3.3 Dispersion; 3.4 Descriptive Statistics 327 $a3.5 Inferential Statistics 3.6 Confidence Intervals; 3.7 Normal Distribution; 3.8 Deviations from Normality; 3.9 Central Limit Theorem; Chapter 4 Hypothesis Testing; 4.1 The Problem Statement; 4.2 Null and Alternate Hypotheses; 4.3 Establishing the Risks; 4.4 Power and Sample Size; 4.5 Conducting the Test and Evaluating the Results; 4.6 One Sample t Test; 4.7 Paired t Test; 4.8 Two Variance Test; 4.9 Two Sample t Test; Chapter 5 Analysis of Variance; 5.1 How ANOVA Works; 5.2 One Way ANOVA (Classic); 5.3 One Way ANOVA with the Assistant; 5.4 ANOVA General Linear Model 327 $aChapter 6 Measurement System Analysis 6.1 The Importance of Measurement Systems; 6.2 How Measurement Systems Affect Data; 6.3 Analysing the Appropriate Systems; 6.4 Types of Measurement Systems Error; 6.5 Measurement Systems Toolbox; 6.6 Type 1 Gage Study; 6.7 Gage Repeatability and Reproducibility Studies; 6.8 Create Gage R&R Study Worksheet; 6.9 Gage R&R (Crossed); 6.10 Gage R&R Crossed Studies; 6.11 Gage R&R (Crossed) Study; 6.12 Gage R&R (Nested); 6.13 Gage Bias and Linearity Study; Chapter 7 Statistical Process Control; 7.1 The Origins of Statistical Process Control 327 $a7.2 Common Cause and Special Cause Variation 7.3 Detection Rules for Special Causes; 7.4 False Alarms; 7.5 When Should We Use SPC Charts?; 7.6 Subgrouping; 7.7 The Appropriate Chart; 7.8 The I-MR Chart; 7.9 The Xbar-R Chart; 7.10 The Xbar-S Chart; 7.11 SPC Exercise; 7.12 The I-MR-R/S Chart; Chapter 8 Process Capability; 8.1 The Basics of Process Capability; 8.2 Short Term and Overall Capability; 8.3 Capability Analysis for Normal Data; 8.4 Capability Analysis for Non Normal Data; 8.5 Capability Comparison using the Assistant; Chapter 9 Correlation and Regression 327 $a9.1 What are Correlation and Regression? 9.2 Correlation; 9.3 Multiple Correlations; 9.4 Introduction to Regression; 9.5 Single Predictor Regression; 9.6 Introduction to Multiple Predictor Regression; 9.7 Multiple Predictor Regression; 9.8 Predictor Selection Procedure; 9.9 Nonlinear Regression; Chapter 10 Design of Experiment; 10.1 Why Use Design of Experiment?; 10.2 Types of DOE; 10.3 DOE Terminology; 10.4 Two Level Factorial Designs; 10.5 Fractional Factorial Designs; Chapter 11 Help; 11.1 Help Overview; 11.2 Help! Help!; 11.3 Tutorials; 11.4 StatGuide; 11.5 Methods and Formulas 327 $a11.6 Meet Minitab 330 $a"Problem Solving and Data Analysis using Minitab presents example based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving"--$cProvided by publisher. 606 $aMathematical statistics$xData processing 606 $aProblem solving$xStatistical methods 606 $aSix sigma (Quality control standard) 615 0$aMathematical statistics$xData processing. 615 0$aProblem solving$xStatistical methods. 615 0$aSix sigma (Quality control standard) 676 $a658.4/013028553 686 $aMAT029000$2bisacsh 700 $aKhan$b Rehman M$01724221 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817051503321 996 $aProblem solving and data analysis using Minitab$94126135 997 $aUNINA