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Experimental Design Basics
  • Level Professional
  • المدة 13 ساعات hours
  • الطبع بواسطة Arizona State University
  • Offered by

عن

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.

الوحدات

Welcome

    • 3 Videos
    • 4 Readings
    • 1 Discussion
    • 1 ExternalTool
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1 External Tool

  • JMP Virtual Lab

1 Discussions

  • Meet the class

3 Videos

  • Instructor Welcome
  • Course Introduction
  • Specialization Overview

4 Readings

  • Course Description
  • Course Textbook and Resources
  • Best Practices in Online Learning (or How to Succeed in This Class)
  • Course Project

Introduction to Design and Analysis of Experiments

    • 3 Videos
    • 2 Readings
    • 1 Assignment
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1 Assignment

  • Concept Questions

3 Videos

  • History of DOX
  • The Basic Principles of DOX
  • Factorial Designs with Several Factors

2 Readings

  • Unit 1 Introduction
  • Introduction to course project

Simple Comparative Experiments

    • 9 Videos
    • 1 Readings
    • 1 ExternalTool
    • 2 Assignment
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2 Assignment

  • Concept Questions
  • Exercise 1

1 External Tool

  • JMP Virtual Lab

9 Videos

  • Comparative Experiments and Basic Statistical Concepts
  • The Hypothesis Testing Framework
  • Pooled t-test and Two-sample t-test
  • Pooled t-test and Two-sample t-test, pt 2
  • Hypothesis Testing on Variances
  • Paired t-test
  • Portland Cement Data Example
  • Florescence Data Example
  • Hardness Testing Example

1 Readings

  • Unit 2 Introduction

Experiments with a Single Factor - The Analysis of Variance

    • 10 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Concept Questions
  • Exercise 2

10 Videos

  • Analysis of Variance (ANOVA)
  • Models for the Data
  • ANOVA for Plasma Etching Experiment
  • Post-ANOVA Comparison of Means
  • Sample Size Determination
  • Examples of Single-Factor Experiments
  • The Random Effects Model
  • Example of Random Factor Experiment
  • Plasma Etching Example
  • Fabric Strength Example

1 Readings

  • Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of Variance

Randomized Blocks, Latin Squares, and Related Designs

    • 6 Videos
    • 1 Readings
    • 2 Assignment
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2 Assignment

  • Concept Questions
  • Exercise 3

6 Videos

  • The Blocking Principle
  • Extension of the ANOVA to the RCBD
  • Example
  • Residual Analysis for the Vascular Graft Example
  • The Latin Square Design
  • Vascular Graft Example

1 Readings

  • Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; techniques for handling nuisance factor is experiments

Peer Review: Project Report

    • 1 PeerReview
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1 Peer Review

  • Project Report

Auto Summary

"Experimental Design Basics" is a professional-level course offered by Coursera, focusing on designing and analyzing experiments efficiently in various industrial and business environments. Utilizing software like JMP, Design-Expert, and Minitab, learners will gain practical skills in planning, conducting, and analyzing experiments. The course spans 780 minutes and is available through Starter and Professional subscriptions. Ideal for professionals seeking to enhance their experimental design capabilities.

Douglas C. Montgomery
Instructor

Douglas C. Montgomery