Significance of Variance
Variance is a statistical measure that quantifies the dispersion in a set of values, indicating how individual measurements differ from the mean. It is particularly useful in analyzing results, such as in dissolution studies. Additionally, when examining the Malay PSS-10, the two factors account for 54.6% of the observed variance. Overall, variance provides insight into the distribution and variation of responses within data sets.
Synonyms: Variation, Difference, Discrepancy, Deviation, Fluctuation, Spread, Inconsistency, Alteration, Change
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The concept of Variance in scientific sources
Variance is a statistical measure that quantifies variation or dispersion in data sets, particularly useful for analyzing results in dissolution studies by assessing how values differ from the mean.
From: The Malaysian Journal of Medical Sciences
(1) This is a measure of how much a model's predictions vary across different data samples.[1] (2) Variance is the measure of how much the models explain in the SAD or APD, with the five domains model showing 29% variance in the SAD.[2] (3) A measure of the distribution of responses in the study, with the two factors of the Malay PSS-10 accounting for a combined total of 54.6% of the variance observed.[3]