Use table calculations to identify trends and develop insights.
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T-test
Use the t-test to determine if the difference between two samples are statistically significant or due to chance. -
Implement the t-test for means
You can add the t-test to your visualization to compare the means of two samples. -
Implement the t-test for NPS samples
You can add the t-test to your visualization to compare the Net Promoter Scores (NPS) of two samples. -
Chi-squared test
Use the chi-squared test to determine whether there is a significant association between two categorical variables. -
Implement the chi-squared test
You can add the chi-squared test to your visualization to highlight whether there is a significant association between two categorical variables. -
Z-test
Use the z-test to determine if the difference between the proportions of two samples is significant or not. -
Implement the z-test for proportions
Use this statistical test to determine whether the difference between the proportions of two samples is significant or not.
Parent topic: Creating your own fields