Chi-Squared Test in Google Sheets

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In this Free Guided Project, you will:

Understand Chi-Square statistics and what they tell us.

Build the framework and conduct the Chi-Square test for significance of difference between groups.

Evaluate and interpret the probabilities that there are significant differences between variables in three Chi-Square tests.

Showcase this hands-on experience in an interview

Clock2 hours
BeginnerBeginner-friendly
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

By the end of this project, you will be able to further your business intelligence goals by confidently analyzing the differences between groups using statistical techniques in any spreadsheet software. Uncovering the relationship between variables is usually at the top of an analyst’s list of goals, when approaching a data set. Pearson’s Chi-Squared Test is a powerful tool that can confirm or invalidate observed differences. In your Chi-Squared in Google Sheets project, you will gain hands-on experience formatting variables within a data set so that you can understand if differences exists in groups, then you will perform several Chi-Squared tests for significance of difference, interpret the probability that significant differences exist, and report your findings. To do this you will work in the free-to-use spreadsheet software Google Sheets. 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.

Requirements

Some familiarity with spreadsheet software is helpful, but not required.

Skills you will develop

Validity (Statistics)Survey Data InsightsData AnalysisBusiness IntelligenceReport Differences Between Groups

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. Review Chi-Square statistics and what they report.

  2. Explore Chi-Square tests and how they support understanding a data set.

  3. Consider use cases for Chi-Square testing for significance of difference between groups.

  4. Import data into Google Sheets, evaluate the data, and conduct Chi-Square tests.

  5. Interpret Chi-Square tests and report the findings.

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

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.