Hypothesis Test
Two Sample T-test/Two Sample Wilcoxon-Test/Chi-Squared Test/One Sample Proportions Test/N Sample Proportions Test/Correlation Test
Two Sample T-Test
Input Data
X | First variable for the test |
Y | Second variable for the test |
For the two-sample t-test, input X and Y should always be numerical variables. Drag and drop each of the variables you want to test under the X and Y. For the paired T-test, use Paired T-Test instead of Two Sample T-Test.
Two Sample Wilcoxon Test
Input Data
X | First variable for the test. Numerical variables only |
Y | Second variable for the test. Numerical variables only |
Chi-Squared Test
Input Data
X | First column of the contingency table |
Y | Second column of the contingency table |
One Sample Proportions Test
Input Data
*Target Data | Data input |
*Output Name | Name of the output |
*X(factor) | The factor variable for the proportion test |
*X items | Items in variable X. Choose one for the proportions test. |
Value | (optional) |
N Samples Proportions Test
Input Data
*X1(factor) | A factor variable
|
*X2(factor) | A factor variable that contains categories to be selected.
|
*X2 items | Items in variable X2. Choose one for the proportions test. |
Value | (optional) |
Correlation Test
Input Data
Target Data | Input Data |
Output Name | Name of the output |
X&Y | The variables for the correlation test. Numeric type only. |
Workflow Example
R-Flow Task Example Video: N Samples Proportion Test
R Packages
Packages Name: stats
method: t.test, wilcox.test, chisq.test, prop.test, cor.test
https://www.rdocumentation.org/packages/stats/versions/3.6.2
Last updated
