University of Colorado Boulder

ANOVA and Experimental Design

This course is part of Statistical Modeling for Data Science Applications Specialization

Taught in English

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Brian Zaharatos

Instructor: Brian Zaharatos

4,347 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.9

(13 reviews)

Intermediate level

Recommended experience

40 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

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.

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Assessments

24 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.9

(13 reviews)

Intermediate level

Recommended experience

40 hours (approximately)
Flexible schedule
Learn at your own pace
Progress towards a degree

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This course is part of the Statistical Modeling for Data Science Applications 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 videos4 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
4.8 (6 ratings)
Brian Zaharatos
University of Colorado Boulder
3 Courses10,457 learners

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Recommended if you're interested in Probability and Statistics

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3.9

13 reviews

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ZC
5

Reviewed on Jul 30, 2022

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