University of Colorado Boulder - ANOVA and Experimental Design
- Offered byCoursera
ANOVA and Experimental Design at Coursera Overview
Duration | 39 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
ANOVA and Experimental Design at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 3 in the Statistical Modeling for Data Science Applications Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level Calculus, linear algebra, and probability theory.
- Approx. 39 hours to complete
- English Subtitles: English
ANOVA and Experimental Design at Coursera Course details
- 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.
- This course can be taken for academic credit as part of CU Boulder?s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder?s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
- Logo adapted from photo by Vincent Ledvina on Unsplash
ANOVA and Experimental Design at Coursera Curriculum
Introduction to ANOVA and Experimental Design
Introduction to Experimental Design
The One-Way ANOVA and ANCOVA Models
ANOVA Variance Decomposition
ANOVA Sums of Squares and the F-test
ANOVA and ANCOVA as Regression Models
One-Way ANOVA Interpretation in the Regression Context
The ANCOVA Model
ANCOVA with Interactions
ANCOVA with Interactions in R
Introduction to ANOVA and Experimental Design
The One-Way ANOVA and ANCOVA Models
ANOVA Variance Decomposition
ANOVA Sums of Squares and the F-Test
ANOVA and ANCOVA as Regression Models
One-Way ANOVA Interpretation in the Regression Context
The ANCOVA Model
ANCOVA with Interactions
ANCOVA with Interactions in R
Hypothesis Testing in the ANOVA Context
Beyond the Full F-test
Planned Comparisons: Defining Contrasts
Planned Comparisons: Hypothesis Testing with Contrasts
Post Hoc Comparisons
Post Hoc Comparisons in R
Type II Error and Power in the ANOVA Context
Patrizio E. Tressoldi and David Giofré: "The pervasive avoidance of prospective statistical power: major consequences and practical solutions"
Optional: Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors
Beyond the Full F-test
Planned Comparisons: Defining Contrasts
Planned and Unplanned Comparisons
Type II Error and Power in the ANOVA Context
Two-Way ANOVA and Interactions
Motivating the Two-way ANOVA Model
The two-way ANOVA model
The Two-way ANOVA Model as a Regression Model
Interaction Terms in the Two-way ANOVA Model: Definitions and Visualizations
Interactions in the Two-way ANOVA Model: Formal Tests
Two-way ANOVA Hypothesis Testing (no interaction)
Looking Ahead: Two-Way ANOVA and Experimental Design
Motivating the Two-way ANOVA Model
The Two-way ANOVA Model
The Two-way ANOVA Model as a Regression Model
Interaction Terms in the Two-way ANOVA Model: Definitions and Visualizations
Interactions in the Two-way ANOVA Model: Formal Tests
Two-way ANOVA Hypothesis Testing (no interaction)
Experimental Design: Basic Concepts and Designs
The Conceptual Framework of Experimental Design
The Completely Randomized Design
The Randomized Complete Block Design (RCBD)
The Randomized Complete Block Design (RCBD): Hypothesis Testing
The Factorial Design
Further Issues in Experimental Design
Ethical Issues in Experimental Design
Causation and Experimental Design
Resources on Ethics
The Conceptual Framework of Experimental Design
The Completely Randomized Design
The Randomized Complete Block Design (RCBD)
The Factorial Design
Further Issues in Experimental Design
ANOVA and Experimental Design at Coursera Admission Process
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ANOVA and Experimental Design