Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means. ANOVA was developed by the statistician Ronald Fisher. ANOVA is based on the law of total variance, where the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether two or more population means are equal, and therefore generalizes the t-test beyond two means.
Figure 1. ANOVA analysis.
CD ComputaBio offers three analysis of variance models, customers can choose according to their data needs:
CD ComputaBio offers a fixed effect that provides analysis of variance. This model (Type I) is suitable for the following situations: the experimenter performs one or more treatments on the experimental object to see if the response variable value changes. This allows the experimenter to estimate the range of response variable values that the treatment will produce in general.
When the treatment method is not fixed, CD ComputaBio offers a random effect model (Type II). Since the level itself is a random variable, some assumptions and comparative treatment methods (multivariate generalization of simple differences) are different from the fixed effects model.
The mixed-effects model (type III) contains experimental factors of fixed effect and random effect types, and the interpretation and analysis of these two types are appropriately different.
According to the different types of data design, there are two methods of analysis of variance as follows:
1. To compare the mean of multiple samples in a group design, the analysis of variance with a completely random design should be used, that is, one-way analysis of variance.
2. For the comparison of the mean values of multiple samples in the random block design, the analysis of variance of the compatibility group design should be used, that is, the two-factor analysis of variance.
|Project name||ANOVA analysis|
|Our service models||
|Service cycle||Decide according to your needs.|
|Applications||Significance test of mean difference
Separate related factors and estimate their effects on total variation
Analyze the interaction between factors
Test for homogeneity of variance
|Result including||We provide you with raw data and analysis service.|
CD ComputaBio' ANOVA analysis can significantly reduce the cost and labor of the subsequent experiments. ANOVA analysis is a personalized and customized innovative scientific research service. Each project needs to be evaluated before the corresponding analysis plan and price can be determined. If you want to know more about service prices or technical details, please feel free to contact us.