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Experimental Design Basics

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Experimental Design Basics

26,949 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

314 reviews

Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

314 reviews

Intermediate level
Some related experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace

What you'll learn

  • By the end of this course, you will be able to:

  • Approach complex industrial and business research problems and address them through a rigorous, statistically sound experimental strategy

  • Use modern software to effectively plan experiments

  • Analyze the resulting data of an experiment, and communicate the results effectively to decision-makers.

Details to know

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Assessments

7 assignments¹

AI Graded see disclaimer
Taught in English
95%
Most learners liked this course

Build your subject-matter expertise

This course is part of the Design of Experiments Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

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.

What's included

6 videos6 readings1 assignment1 app item1 discussion prompt

6 videos•Total 54 minutes
  • Instructor Welcome•3 minutes
  • Course Introduction•5 minutes
  • Specialization Overview•3 minutes
  • History of DOX•18 minutes
  • The Basic Principles of DOX•11 minutes
  • Factorial Designs with Several Factors•14 minutes
6 readings•Total 51 minutes
  • Course Description•10 minutes
  • Course Textbook and Resources•10 minutes
  • Best Practices in Online Learning (or How to Succeed in This Class)•10 minutes
  • Course Project•10 minutes
  • Unit 1 Introduction•1 minute
  • Introduction to course project•10 minutes
1 assignment•Total 30 minutes
  • Concept Questions•30 minutes
1 app item•Total 60 minutes
  • JMP Virtual Lab•60 minutes
1 discussion prompt•Total 10 minutes
  • Meet the class•10 minutes

What's included

9 videos1 reading2 assignments1 app item

9 videos•Total 96 minutes
  • Comparative Experiments and Basic Statistical Concepts•11 minutes
  • The Hypothesis Testing Framework•14 minutes
  • Pooled t-test and Two-sample t-test•12 minutes
  • Pooled t-test and Two-sample t-test, pt 2•13 minutes
  • Hypothesis Testing on Variances•14 minutes
  • Paired t-test•11 minutes
  • Portland Cement Data Example•11 minutes
  • Florescence Data Example•5 minutes
  • Hardness Testing Example•6 minutes
1 reading•Total 2 minutes
  • Unit 2 Introduction•2 minutes
2 assignments•Total 60 minutes
  • Concept Questions•30 minutes
  • Exercise 1•30 minutes
1 app item•Total 60 minutes
  • JMP Virtual Lab•60 minutes

What's included

10 videos1 reading2 assignments

10 videos•Total 84 minutes
  • Analysis of Variance (ANOVA)•13 minutes
  • Models for the Data•11 minutes
  • ANOVA for Plasma Etching Experiment•10 minutes
  • Post-ANOVA Comparison of Means•10 minutes
  • Sample Size Determination•7 minutes
  • Examples of Single-Factor Experiments•10 minutes
  • The Random Effects Model•8 minutes
  • Example of Random Factor Experiment•7 minutes
  • Plasma Etching Example•5 minutes
  • Fabric Strength Example•3 minutes
1 reading•Total 2 minutes
  • Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of Variance•2 minutes
2 assignments•Total 60 minutes
  • Concept Questions•30 minutes
  • Exercise 2•30 minutes

What's included

6 videos1 reading2 assignments

6 videos•Total 52 minutes
  • The Blocking Principle•10 minutes
  • Extension of the ANOVA to the RCBD•7 minutes
  • Example•10 minutes
  • Residual Analysis for the Vascular Graft Example•9 minutes
  • The Latin Square Design•9 minutes
  • Vascular Graft Example•6 minutes
1 reading•Total 1 minute
  • Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; Techniques for Handling Nuisance Factors in Experiments•1 minute
2 assignments•Total 60 minutes
  • Concept Questions•30 minutes
  • Exercise 3•30 minutes

What's included

1 peer review

1 peer review•Total 60 minutes
  • Project Report•60 minutes

Earn a career certificate

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Instructor

Instructor ratings
4.7 (160 ratings)
Arizona State University
6 Courses•30,278 learners

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Showing 3 of 314

RA
·

Reviewed on Mar 8, 2021

Very nice refresher for someone who took Experimental Design years ago. I just wish that more examples were presented.

PP
·

Reviewed on Feb 14, 2023

This course provides basic knowledge about experiment design, leading to the foundation of a quality manager or project management.

RZ
·

Reviewed on Jan 12, 2021

pretty good course , it would have been great to have pdf or brief with the material, the book is great too , class notes would have been great.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.