The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at
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Independent groups t-test
Computes statistics for the independent groups t-test,
also know as the two sample t-test. It is designed
to compare the means of observations in the same column between
two groups. The node allows the testing of equality of variances
(Levene's test) and the t-value for both equal- and unequal-variance.
It also provides the relevant descriptive statistics.
Dialog Options
- Grouping column
- Column holding the grouping information
data.
- Grouping one
- All rows of the input table which have this
this value in the grouping column are assigned to group one.
- Grouping two
- All rows of the input table which have this
this value in the grouping column are assigned to group two.
- Confidence Interval (in %)
-
The limits for the confidence interval are computed using this number. The
default is 95 which means that you can be 95% confident that the true value
of the parameter is in the confidence interval.
- Test columns
-
A independent groups t-test is performed separately for each of these columns.
Ports
Output Ports
0 |
Statistics for the independent groups t-test. |
1 |
Statistics for the Levene-Test. |
2 |
Descriptive statistics of the input. |
Views
- Test statistics
-
Tables with descriptive statistics of the input columns
and test statistics of the independent samples t-test.
This node is contained in KNIME Statistic Nodes
provided by KNIME GmbH, Konstanz, Germany.