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Experimental Design Basics · LearnSpace
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Experimental Design Basics

Курс от Arizona State University
Средний≈ 12.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This is a basic course in designing experiments and analyzing the resulting data. The course objective is to learn how to plan, design and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all aspects of today’s industrial and business environment. Applications from various fields will be illustrated throughout the course. Computer software packages (JMP, Design-Expert, Minitab) will be used to implement the methods presented and will be illustrated extensively. All experiments are designed experiments; some of them are poorly designed, and others are well-designed. Well-designed experiments allow you to obtain reliable, valid results faster, easier, and with fewer resources than with poorly-designed experiments. You will learn how to plan, conduct and analyze experiments efficiently in this course.

Навыки, которые вы освоите

Statistical Hypothesis TestingStatistical AnalysisResearch DesignProbability & StatisticsExperimentationVariance AnalysisStatistical SoftwareScientific MethodsDescriptive StatisticsStatistical MethodsSampling (Statistics)Science and ResearchDesign StrategiesSample Size DeterminationData Analysis SoftwareMathematical Software

Программа курса

5 модулей · 51 учебных материалов

01Unit 1: Getting Started and Introduction to Design and Analysis of Experiments15 материалов

Welcome

Course DescriptionЧтениеCourse Textbook and ResourcesЧтениеJMP Virtual LabВнешний инструментInstructor WelcomeВидео

Учитесь у экспертов

Douglas C. Montgomery

Regents Professor | ASU Foundation Professor of Engineering

Experimental Design Basics
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Обучение на Coursera

≈ 12.4 ч

5 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
Course IntroductionВидео
Best Practices in Online Learning (or How to Succeed in This Class)Чтение
Course ProjectЧтение
Meet the classОбсуждение
Specialization OverviewВидео

Introduction to Design and Analysis of Experiments

Unit 1 IntroductionЧтениеHistory of DOXВидеоThe Basic Principles of DOXВидеоFactorial Designs with Several FactorsВидеоConcept QuestionsЗаданиеIntroduction to course projectЧтение
02Unit 2: Simple Comparative Experiments13 материалов

Simple Comparative Experiments

Unit 2 IntroductionЧтениеComparative Experiments and Basic Statistical ConceptsВидеоThe Hypothesis Testing FrameworkВидеоPooled t-test and Two-sample t-testВидеоPooled t-test and Two-sample t-test, pt 2ВидеоHypothesis Testing on VariancesВидеоPaired t-testВидеоPortland Cement Data ExampleВидеоFlorescence Data ExampleВидеоJMP Virtual LabВнешний инструментHardness Testing ExampleВидеоConcept QuestionsЗаданиеExercise 1Задание
03Unit 3: Experiments with a Single Factor - The Analysis of Variance13 материалов

Experiments with a Single Factor - The Analysis of Variance

Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of VarianceЧтениеAnalysis of Variance (ANOVA)ВидеоModels for the DataВидеоANOVA for Plasma Etching ExperimentВидеоPost-ANOVA Comparison of MeansВидеоSample Size DeterminationВидеоExamples of Single-Factor ExperimentsВидеоThe Random Effects ModelВидеоExample of Random Factor ExperimentВидеоPlasma Etching ExampleВидеоFabric Strength ExampleВидеоConcept QuestionsЗаданиеExercise 2Задание
04Unit 4: Randomized Blocks, Latin Squares, and Related Designs9 материалов

Randomized Blocks, Latin Squares, and Related Designs

Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; Techniques for Handling Nuisance Factors in ExperimentsЧтениеThe Blocking PrincipleВидеоExtension of the ANOVA to the RCBDВидеоExampleВидеоResidual Analysis for the Vascular Graft ExampleВидеоThe Latin Square DesignВидеоVascular Graft ExampleВидеоConcept QuestionsЗаданиеExercise 3Задание
05Unit 5: Project1 материалов

Peer Review: Project Report

Project ReportВзаимная проверка