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.
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.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Access Google Sheets
Develop the null hypothesis
Import data into Google Sheets
Create a boxplot
Conduct a One-Way ANOVA test
Report statistical significance and conduct post hoc tests
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
i am glad that i participated in ANOVA and i was excited with the online practicing tool which made me understand ANOVA in a better way.
this has helped me understand ANOVA. Too bad the add-on was not available at the time.
Adequate short course on interpretation and basic use of ANOVA
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