Course Summary
Learn the basics of experimental design and how to properly analyze data in this introductory course. Gain hands-on experience with real-world problems and learn how to apply statistical techniques to improve your research.Key Learning Points
- Understand the fundamental principles of experimental design
- Learn how to properly analyze data to draw accurate conclusions
- Gain hands-on experience with real-world examples
- Apply statistical techniques to improve your research
- Discover unorthodox and lesser-known advice to optimize your experiments
Related Topics for further study
Learning Outcomes
- Understand the basic principles of experimental design
- Learn how to properly analyze data to draw accurate conclusions
- Gain hands-on experience with real-world examples
Prerequisites or good to have knowledge before taking this course
- Basic understanding of statistics
- Familiarity with research methodology
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Hands-on exercises
- Real-world examples
Similar Courses
- Advanced Experimental Design
- Data Analysis for Research
- Research Methods and Statistics
Related Education Paths
Notable People in This Field
- Nate Silver
- Andrew Gelman
Related Books
Description
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.
Knowledge
- 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.
Outline
- Unit 1: Getting Started and Introduction to Design and Analysis of Experiments
- Instructor Welcome
- Course Introduction
- Specialization Overview
- History of DOX
- The Basic Principles of DOX
- Factorial Designs with Several Factors
- Course Description
- Course Textbook and Resources
- Best Practices in Online Learning (or How to Succeed in This Class)
- Course Project
- Unit 1 Introduction
- Introduction to course project
- Concept Questions
- Unit 2: Simple Comparative Experiments
- 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
- Unit 2 Introduction
- Concept Questions
- Exercise 1
- Unit 3: Experiments with a Single Factor - The Analysis of Variance
- 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
- Unit 3 Introduction: Experiments with a Singe Factor; the Analysis of Variance
- Concept Questions
- Exercise 2
- Unit 4: Randomized Blocks, Latin Squares, and Related Designs
- 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
- Unit 4 Introduction: Randomized Blocks, Latin Squares, and Related Designs; techniques for handling nuisance factor is experiments
- Concept Questions
- Exercise 3
- Unit 5: Project
Summary of User Reviews
Read reviews about the Introduction to Experimental Design Basics course on Coursera. Most users found the course informative and well-structured. However, some users had issues with the course content and the pace of instruction.Key Aspect Users Liked About This Course
Many users found the course to be informative and well-structured.Pros from User Reviews
- Clear and concise explanations of concepts
- Well-organized course structure
- Engaging and knowledgeable instructor
- Variety of assignments to reinforce learning
Cons from User Reviews
- Some users found the course content to be too basic
- Pace of instruction was too slow for some users
- Limited opportunities for interaction with instructor or peers
- Not enough practical examples or real-world applications provided
Douglas C. Montgomery
4.7 Raiting
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