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of the total variance vs of the total variance in

Both phrases are correct, but they are used in different contexts. 'Of the total variance' is used when referring to a portion or percentage of the total variance, while 'of the total variance in' is used when specifying the subject or object of the variance. They are not directly comparable as they serve different purposes.

Last updated: March 17, 2024 • 673 views

of the total variance

This phrase is correct and commonly used when referring to a portion or percentage of the total variance.

This phrase is used to indicate a specific part or percentage of the total variance in a dataset or analysis.
  • This allows us to find out how much of the total variance is accounted for by the treatment. The tool for doing all this piling, dividing, and comparing is ANOVA.
  • GENERALIZATION OF THE TOTAL VARIANCE APPROACH TO. THE DIFFERENT CLASSES OF STRUCTURE FUNCTIONS. F. Vernotte y. Observatoire de ...
  • Interpretation, In terms of percentages, we see that 11.71/13.51 = 86.7 percent of the total variance is attributable to batch differences and 13.3 percent to error ...
  • By performing specific experiments quantitative geneticists can estimate the proportion of the total variance that is attributable to the total genetic variance and  ...

of the total variance in

This phrase is correct and commonly used when specifying the subject or object of the variance.

This phrase is used to specify what the total variance is in reference to, such as 'of the total variance in the dataset' or 'of the total variance in the study.'
  • ... accounting for smaller and smaller amounts of the total variance. In general, we are interested in keeping only those principal components whose eigenvalues ...
  • ... accounting for smaller and smaller amounts of the total variance. In general, we are interested in keeping only those principal components whose eigenvalues ...
  • Jul 24, 2012 ... Its variance is. and therefore the first principal components make up. of the total variance. In particular, they make up of the total variance when .
  • Wilks' lambda is the proportion of the total variance in the discriminant scores NOT explained by differences among the groups. In this example about 33% of the ...

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