# Chi-Squared Test in Google Sheets

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In diesem Kostenloses angeleitetes Projekt werden Sie:

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.

Präsentieren Sie diese praktische Erfahrung in einem Vorstellungsgespräch

2 hours
Einsteigerfreundlich
Video auf geteiltem Bildschirm
Englisch
Nur Desktop

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.

Anforderungen

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

## Kompetenzen, die Sie erwerben werden

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

## Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

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.

## Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

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