Two way ANOVAANOVA tests the hypothesis that the population means are equal. The total variance present is separated into independent components that may be attributed to one source or another. Two‑way analysis of variance analyses the data in relation to two classification criteria.
One classification specified as the Y variables set with a second classification specified as the rows of the dataset. The samples must be independent (this test does not handle repeat measures). No missing values are allowed in the data.
Where whole row is empty it is ignored.
Select two or more Y variables (See Selecting multiple variables for details).
Allows you to specify an optional subtitle which will be included in the statistical output.
Allows you to select rows for analysis based upon conditions in other variables (See Filtering datasets for details)
Opens the help system for this dialog.
Sends the output from this analysis to a new OxonStat Dataset. See Dataset output for more details.
Sends the output from this analysis to a printer.
Cancels the analysis and closes the dialog.
Displays the output from this analysis in the Results window.
| OxonStat | 20:47, 12 Aug 2023 |
| 1st Factor: | Weight_1 and Height | |
| 2nd Factor: | Row 1 [Green] to Row 38 [Hall] | |
| Subtitle: | <none> | |
| Statistic: | Two Way ANOVA | |
| Dataset: | OxonStat Demo | |
| Sum squares | df | Mean Square | F | p | |
| Between Columns | 146441.6143 | 1 | 146441.6143 | 734.3324 | <0.0001 |
| Between Rows | 12725.1768 | 37 | 343.9237 | 1.7246 | 0.0233 |
| Residual | 7378.5932 | 37 | 199.4214 | ||
| Total | 166545.3843 | 75 |