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.

[Task Information of 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)

[Task Information of One Sample Proportions Test]

N Samples Proportions Test

Input Data

*X1(factor)	A factor variable Only one should be chosen. (more than two variables can be chosen but will have no effect on the test)
*X2(factor)	A factor variable that contains categories to be selected. Only one should be chosen (more than two variables can be chosen but will have no effect on the test)
*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.

[Task Information of Correlation Test]

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