Analysis of Variance with ANOVA in Google Sheets

4.3
stars

37 ratings

Offered By

1,749 already enrolled

In this Guided Project, you will:

Identify use cases for one-way ANOVA and develop the null hypothesis.

Visualize and statistically examine the data through creating a boxplot.

Conduct One-Way ANOVA and interpret the statistics.

2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only

In every domain it is critical to decision making to understand whether differences exist between two or more groups of things or outcomes. In this course you will test for differences with the One-Way ANOVA analysis of variance technique. You will also learn how to design the test and apply tactics so that you are able to confidently report statistical significance between and within groups if it exists. For this course, we will work side-by-side in the free-to-use software Google Sheets. By the end of this course, you will be able to apply ANOVA and post hoc tests using any spreadsheet software and you will be able to confidently report levels of statistical significance in groups. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

  • Data Science

  • Statistical Analysis

  • Strategic Decision Making

  • Operations Research

  • Business Intelligence

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Access Google Sheets

  2. Develop the null hypothesis

  3. Import data into Google Sheets

  4. Build a statistical framework and create a boxplot

  5. Create a Box Plot to evaluate variance.

  6. Review of the boxplot creation process.

  7. Conduct a One-Way ANOVA

  8. Report statistical significance and conduct post hoc tests

  9. Understand how to access statistical toolpacks in Google Sheets and conduct EDA on the challenge dataset.

  10. Run a One-Way ANOVA with XLMiner Analysis Toolpack in Google Sheets

  11. Review design of One-Way ANOVA models and interpret the test statistics.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM ANALYSIS OF VARIANCE WITH ANOVA IN GOOGLE SHEETS

View all reviews

Frequently Asked Questions

By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

Guided Projects are not eligible for refunds. See our full refund policy.

Financial aid is not available for Guided Projects.

Auditing is not available for Guided Projects.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.