Chi-Squared Test in Google Sheets

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Coursera Project Network
Dans ce Projet guidé gratuit, vous :

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.

Mettez en valeur cette expérience pratique dans un entretien

Clock2 hours
BeginnerAdapté aux débutants
CloudAucun téléchargement requis
VideoVidéo en écran partagé
Comment DotsAnglais
LaptopOrdinateur de bureau uniquement

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.

Conditions

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

Les compétences que vous développerez

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

Apprendrez étape par étape

Votre enseignant(e) vous guidera étape par étape, grâce à une vidéo en écran partagé sur votre espace de travail :

  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.

Comment fonctionnent les projets guidés

Votre espace de travail est un bureau cloud situé dans votre navigateur, aucun téléchargement n'est requis.

Votre enseignant(e) vous guide étape par étape dans une vidéo en écran partagé

Foire Aux Questions

Foire Aux Questions

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