About the CoursePrerequisitesCTools, WebAssign, Video ArchivesAttendance PolicyLabsHomeworkExamsHonor CodeMinitabGrading Policy5PrerequisitesIOE/Stat 265 + Math 214High Speed Internet AccessCheck class email; access CTools, WileyPlus, and Video Archives!~10-15 hours per week to commit to studyAttend class and lab, read, review, hw, 6THINK.Course ObjectivesLearn how to analyze data arising from undesigned experiments through regression analysis. Learn how to model relationships between variables. Learn how to design an experiment.Learn how to apply linear statistical models toLearn how to apply linear statistical models to industrial processes. Ut ti tilftfit di7Use statistical software for experiment design and data analysis.Course OutcomesAppreciate the concept of variability and itsAppreciate the concept of variability and its importance.Understand basic principles of data collection (random sampling, randomization, and blocking)Know and demonstrate graphical and numericalKnow and demonstrate graphical and numerical techniques for summarizing and presenting dataUnderstand the basic methods for drawing valid conclusions (inference) for different situations8
Ch 10 – The Analysis of Variance:Ch 10 The Analysis of Variance:Single Factor Studies10.1 Single Factor ANOVA10 2 Posterior Multiple Comparisons10.2 Posterior Multiple Comparisons10.3 More on Single Factor ANOVAAnalysis of VarianceChecking Model AptnessSample Size Determination9Example 1:Golf BallsBrand 1Brand 2Brand 3BrandBrand 2062172272312082212252282062182302322042242292252102122212302042142242312072212242222062292342351011Dotplots of Distance by DesignDotplots of Distance by Design(group means are indicated by lines)(group means are indicated by lines)235235225tance225ance215Dist215Dista2052051234Design1234Design12
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