VIDEO: What is "homogeneous variance"?

What analysis of variance is

• Before you can really understand what homogeneous variance means, let me tell you that the term is an expression from statistical analysis of variance. Analysis of variance, in turn, means the use of data analytical methods, which can be broken down into numerous individual methods.
• You can imagine checking variances as a fundamental commonality of those data analytical methods. Ultimately, this is done in order to determine the legislative properties behind a given data corpus.
• Variance actually means here - as described in the introduction - "possibility of variation". In this way, target variables are defined, with their variance being explained by the influence of defined influencing variables or factors.
• Finally, test variables can be used to test whether the variance from one group to another is more significant than in one and the same group. Such a test shows, for example, when the classification of the variance groups makes little sense.

This is what the statistical expression means with homogeneous variance

• Since you know what homogeneous means, it shouldn't be too difficult for you to understand the meaning of "homogeneity of variance" against the background of data analysis. In the analysis of variance, there is always homogeneity of variance when the variances determined hardly differ from one another.


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• It can be concluded from the homogeneity of variance that the same regularities apply within the variances. If, on the other hand, there is heterogeneous behavior instead of behavior with homogeneous variance, then the latter indicates different Dispersion within the data corpus suggests that different laws apply to the two or more groups are valid.
• The weather report can now be cited as an example of variance heterogeneity. The accuracy is the more likely, the closer his prognosis is to the now. But the more he moves forward in the future, the less likely it is that he will be right.
• Since the technology is expected to continue to develop in the future, it can be assumed that the weather report in 1000 years' time will perhaps be characterized by homogeneity of variance. That would mean that his prognoses are constantly always correct or constantly wrong under, for example, the parameter of time.

If you want to try your hand at analyzing a corpus of data, it is advisable to find out about procedures for verifying your results beforehand. The Levene test, for example, is suitable for verifying a data set as homogeneous in variance.