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
Build a statistical framework and create a boxplot
Create a Box Plot to evaluate variance.
Review of the boxplot creation process.
Conduct a One-Way ANOVA
Report statistical significance and conduct post hoc tests
Understand how to access statistical toolpacks in Google Sheets and conduct EDA on the challenge dataset.
Run a One-Way ANOVA with XLMiner Analysis Toolpack in Google Sheets
Review design of One-Way ANOVA models and interpret the test statistics.
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.
Adequate short course on interpretation and basic use of ANOVA
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