This second course in statistical modeling will introduce students to the study of the analysis of variance (ANOVA), analysis of covariance (ANCOVA), and experimental design. ANOVA and ANCOVA, presented as a type of linear regression model, will provide the mathematical basis for designing experiments for data science applications. Emphasis will be placed on important design-related concepts, such as randomization, blocking, factorial design, and causality. Some attention will also be given to ethical issues raised in experimentation.
ANOVA and Experimental Design
ANOVA and Experimental Design
This course is part of Statistical Modeling for Data Science Applications Specialization
Instructor: Brian Zaharatos
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Gain insight into a topic and learn the fundamentals.
4.0
(17 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 39 hours
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What you'll learn
Identify and interpret the two-way ANOVA (and ANCOVA) model(s) as a linear regression model.
Use the two-way ANOVA and ANCOVA models to answer research questions using real data.
Define and apply the concepts of replication, repeated measures, and full factorial design in the context of two-way ANOVA.
Skills you'll gain
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Assessments
24 quizzes
Taught in English
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This course is part of the Statistical Modeling for Data Science Applications Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group means with respect to a continuous variable. Such models include the one-way Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA) models.
What's included
9 videos3 readings9 quizzes2 programming assignments1 peer review1 discussion prompt2 ungraded labs
In this module, we will learn how statistical hypothesis testing and confidence intervals, in the ANOVA/ANCOVA context, can help answer meaningful questions about the differences between group means with respect to a continuous variable.
What's included
6 videos2 readings4 quizzes1 programming assignment1 peer review2 ungraded labs
In this module, we will study the two-way ANOVA model and use it to answer research questions using real data.
What's included
7 videos6 quizzes1 programming assignment1 peer review1 ungraded lab
In this module, we will study fundamental experimental design concepts, such as randomization, treatment design, replication, and blocking. We will also look at basic factorial designs as an improvement over elementary “one factor at a time” methods. We will combine these concepts with the ANOVA and ANCOVA models to conduct meaningful experiments.
What's included
7 videos2 readings5 quizzes1 programming assignment1 peer review2 ungraded labs
Instructor
Instructor ratings
4.6 (8 ratings)Offered by
Recommended if you're interested in Probability and Statistics
University of North Texas
University of Colorado Boulder
University of California San Diego
Arizona State University
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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ZC
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Reviewed on Jul 30, 2022
Great course. Really useful and practical, and the exercise is not too difficult.
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