Analysis of Variance, or ANOVA, is the standard technique for quantifying and partitioning sample variance in experimental data. Origin's ANOVA tools, both
One-Way and Two-way, are both powerful
Two-way analysis of variance experiments have two independent treatment factors each
of which has two or more levels. Two-way ANOVA tests for significant differences
between the factor level means within a factor and for interactions between the
This tool supports seven means comparison tests:
- Fisher LSD
You may also
use it to test the interaction between two factors. In addition, you can calculate
actual power for a specified alpha level and hypothetical power for varying sample
Note: OriginPro also provides a Two-Way Repeated Measures ANOVA tool.
While performing Two-Way ANOVA in Origin, you can select non-contiguous data sets from any worksheet in the Origin project. When interaction effects are computed, unequal N between cells is supported, but empty cells are not.
To test new drugs, total chola concentration are measured for 3 different dose levels(100mg, 200mg and 300mg) and 2 different exercise strength (Light and Moderate). Tests are performed for these 3 levels of dose and 2 levels of exercise strength.
From the Two-Way ANOVA results we see that the P-value of Exercise is 0.00769, which is less than 0.05. It indicates that, at the level of 0.05, there is significant difference among 2 levels of exercise strength. Similarly, since the P-value of Dose is less than 0.05, we can see that the means of Dose's 3 different levels are significantly different.
If you want to know which levels have different means, please use means comparison test in Origin.
Origin includes the ability to automatically recalculate the analysis results of the Two Way ANOVA operation any time you change the parameters or update your source data. In addition, the settings for this analysis routine can be saved to an analysis theme for use later with similar data.