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.
Options
Popular Predecessors
- CSV Reader5 %
Column Appender3 %- Crosstab3 %
- GroupBy2 %
Row Filter (deprecated)2 %- File Reader2 %
- Concatenate2 %
String To Number2 %Number To String2 %Concatenate (Optional in)2 %- Paired t-test2 %
- Linear Correlation2 %
- Auto-Binner1 %
- Rule Engine1 %
Excel Reader (XLS)1 %- Conditional Box Plot (legacy)1 %
- Duplicate Row Filter1 %
- Column List Loop Start1 %
Scorer1 %- Partitioning1 %
Column Rename1 %- Unpivot1 %
- Single sample t-test1 %
- Math Formula1 %
Linear Correlation1 %- Table Row to Variable1 %
- Column Filter< 1 %
- Column Expressions (legacy)< 1 %
- Excel Reader< 1 %
Table Row To Variable Loop Start< 1 %Loop End< 1 %- Date&Time Difference< 1 %
- Table Transposer< 1 %
- Linear Regression Learner< 1 %
- One-way ANOVA< 1 %
- Statistics< 1 %
- Box Plot (legacy)< 1 %
- Math Formula (Multi Column)< 1 %
- Reference Row Filter< 1 %
- Numeric Row Splitter< 1 %
- Joiner< 1 %
- Extract Variables (Data)< 1 %
- Column Combiner< 1 %
- Category to Number< 1 %
Joiner< 1 %- Regression Predictor< 1 %
- Row Filter (Labs)< 1 %
- Numeric Outliers< 1 %
- Kolmogorov-Smirnov Test< 1 %
- Try (Data Ports)< 1 %
- Table Creator< 1 %
- Group Loop Start< 1 %
- Domain Calculator< 1 %
- Nominal Value Row Filter< 1 %
Row Splitter (deprecated)< 1 %- Low Variance Filter< 1 %
- Normalizer< 1 %
- Pivot< 1 %
- Missing Value< 1 %
- RowID< 1 %
- Row Sampling< 1 %
- String Manipulation< 1 %
- Rule-based Row Filter< 1 %
- Rule-based Row Splitter< 1 %
- Kruskal-Wallis Test< 1 %
- Independent groups t-test< 1 %
- R Snippet< 1 %
- k-Means< 1 %
- Number to String< 1 %
- String to Number< 1 %
- Constant Value Column Filter< 1 %
- Nominal Value Row Splitter< 1 %
- Number to String (PMML)< 1 %
- Rank Correlation< 1 %
- Data Generator< 1 %
- Scatter Plot (JavaScript)< 1 %
- Disturber Node< 1 %
- Table Column to Variable< 1 %
- Table Row to Variable Loop Start< 1 %
- Tree Ensemble Predictor< 1 %
- Column Appender< 1 %
- Constant Value Column< 1 %
- Table Manipulator< 1 %
- Cronbach Alpha< 1 %
File Reader< 1 %Regression Predictor< 1 %Counting Loop Start< 1 %- Naive Bayes Learner< 1 %
- Reference Column Filter< 1 %
- Filter Apply< 1 %
- Shuffle< 1 %
- String to Date&Time< 1 %
- Ungroup< 1 %
Table Reader< 1 %Random Forest Predictor< 1 %XLS Reader< 1 %- Feature Calculator (BETA)< 1 %
- DBSCAN< 1 %
- Cell Splitter By Position< 1 %
- One to Many (PMML)< 1 %
- Number Rounder< 1 %
- Shapiro-Wilk Test< 1 %
- Table View (JavaScript)< 1 %
Python Script (1⇒1)< 1 %- Inject Variables (Data)< 1 %
Table Row to Variable< 1 %- ARFF Reader< 1 %
Logistic Regression Learner< 1 %- Column Aggregator< 1 %
- Double to Integer< 1 %
- Equal Size Sampling< 1 %
- Missing Value Column Filter< 1 %
- Denormalizer< 1 %
- Sorter< 1 %
- Value Counter< 1 %
- IF Switch< 1 %
K Nearest Neighbor (Distance Function)< 1 %- Document Vector< 1 %
- Column Filter (legacy)< 1 %
- PCA< 1 %
- Column Resorter< 1 %
- Correlation Filter< 1 %
- Rank< 1 %
- Data Explorer< 1 %
- Numeric Outliers (Apply)< 1 %
Merge Variables< 1 %Excel Reader (XLS)< 1 %Extract Date&Time Fields< 1 %- Date&Time-based Row Filter< 1 %
- Table Reader< 1 %
- Outlier Removal< 1 %
CSV Reader< 1 %- Feature Selection Filter< 1 %
- Decision Tree Predictor< 1 %
- Logistic Regression Predictor< 1 %
- Numeric Binner< 1 %
- Decision Tree to Ruleset< 1 %
- Wilcoxon-Mann-Whitney Test< 1 %
- Color Manager< 1 %
- SDF Reader< 1 %
Excel Reader (XLS)< 1 %- Java Snippet (simple)< 1 %
- String to Date/Time (legacy)< 1 %
Table Column to Variable< 1 %Table Row to Variable< 1 %- Image to Table< 1 %
Database Reader< 1 %- Feature Selection Loop Start (1:1)< 1 %
- Chunk Loop Start< 1 %
Generic Loop Start< 1 %Variable Loop End< 1 %- X-Aggregator< 1 %
- X-Partitioner< 1 %
PCA< 1 %- Logistic Regression Learner< 1 %
- PCA Compute< 1 %
- Binner (Dictionary)< 1 %
Cell Replacer< 1 %- Cell Splitter< 1 %
- Column Rename (Regex)< 1 %
- One to Many< 1 %
- Table Validator (Reference)< 1 %
- Reference Column Splitter< 1 %
- Filter Apply Row Splitter< 1 %
- Numeric Binner (PMML)< 1 %
- Denormalizer (PMML)< 1 %
- Normalizer (PMML)< 1 %
- Column Splitter< 1 %
- String Replacer< 1 %
Rank Correlation< 1 %- Standardized Cronbach Alpha< 1 %
- End IF< 1 %
CASE Switch Data (Start)< 1 %- Cache< 1 %
Color Appender< 1 %- DB Reader< 1 %
- TimeDelay Loop End< 1 %
- Distance Matrix Reader< 1 %
- Similarity Search< 1 %
- JPython Function (Legacy)< 1 %
- Strings to Document< 1 %
- t-SNE (L. Jonsson)< 1 %
- Weka Cluster Assigner (3.7)< 1 %
- Columns to JSON< 1 %
- R Predictor< 1 %
- R to Table< 1 %
- Time Difference (legacy)< 1 %
- Try (Variable Ports)< 1 %
- Read Images< 1 %
- Hierarchical Clustering< 1 %
- Numeric Scorer< 1 %
- SMOTE< 1 %
- Column Renamer (Dictionary)< 1 %
- Column Merger< 1 %
- Row Splitter (Labs)< 1 %
- CASE Switch End< 1 %
- Heatmap (JavaScript)< 1 %
- Date Field Extractor (legacy)< 1 %
- Moving Aggregator< 1 %
Views
- Test statistics
- Tables with descriptive statistics of the input columns and test statistics of the independent samples t-test.
Workflows
05_Independent_groups_t-testKNIME Hub- 05_Independent_groups_t-testKNIME Hub
- 07_Intensity_MeasurementKNIME Hub
- 20210819_Proksch_Ventura_live_4_EXP009_plate1_60min_run2_v2KNIME Hub
- 25004KNIME Hub
- Show all 48 workflows
Links
- No links available
Developers
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