Significance of Standard deviation
Standard deviation is a statistical measure that quantifies the amount of variation or dispersion in a set of values, often abbreviated as SD. It is essential in evaluating data analysis, particularly in studies involving continuous variables like those from transsphenoidal surgeries and other health assessments. By indicating how individual measurements differ from the mean, standard deviation serves to reflect the spread of data, demonstrating precision and reliability across various statistics, including in studies related to cardiovascular disease and dry eye prevalence.
Synonyms: Variance, Spread, Variation, Dispersion
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The concept of Standard deviation in scientific sources
Standard deviation is a statistical measure that quantifies variations in data, applicable in physicochemical tests and analyzing pain scores, indicating the extent of dispersion in collected values.
From: The Malaysian Journal of Medical Sciences
(1) This was reduced for the hippocampal volume through the correction via the covariance method, which indicates the consistency of the results.[1] (2) This is a statistical measure that indicates the amount of variation or dispersion of a set of values from the average.[2] (3) Standard deviations are statistical values used to measure the variability in the measurements of the ulnar artery, such as diameters and thickness, within the study population.[3] (4) This statistical measure is used to quantify the amount of variation or dispersion of a set of values around their average, providing insights into data variability.[4] (5) Standard deviations, along with means and percentages, were used to describe the prevalence of dry eye among participants, offering a statistical measure of variability.[5]