variance


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deviation

 [de″ve-a´shun]
1. a turning away from the regular standard or course.
2. in ophthalmology, strabismus.
3. in statistics, the difference between a sample value and the mean.
axis deviation an axis shift in the frontal plane, as seen on an electrocardiogram. There are three types: Left, from −30° to −90°; Right, from +90° to +180°; and Undetermined, which may be either extreme left or extreme right, from −90° to +180°.
conjugate deviation dysfunction of the ocular muscles causing the two eyes to diverge to the same side when at rest.
sexual deviation sexual behavior or fantasy outside that which is morally, biologically, or legally sanctioned, often specifically one of the paraphilias.
standard deviation (SD) the dispersion of a random variable; a measure of the amount by which each value deviates from the mean. It is equal to the square root of the variance. For data that have a normal distribution, about 68 per cent of the data points fall within (plus or minus) one standard deviation from the mean and about 95 per cent fall within (plus or minus) two standard deviations. Symbol σ.
ulnar deviation a hand deformity, seen in chronic rheumatoid arthritis and lupus erythematosus, in which swelling of the metacarpophalangeal joints causes the fingers to become displaced to the ulnar side. Called also ulnar drift. See illustration.
 Ulnar deviation (ulnar drift) of the metacarpophalangeal joint, a characteristic sign of rheumatoid arthritis. From Pedretti and Early, 2001.

var·i·ance

(var'ē-ăns),
1. The state of being variable, different, divergent, or deviate; a degree of deviation.
2. A measure of the variation shown by a set of observations, defined as the sum of squares of deviations from the mean, divided by the number of degrees of freedom in the set of observations.

variance

A measure of the variability in a sample or population, which is calculated as the mean squared deviation (MSD) of the individual values from their common mean. In calculating the MSD, the divisor n is commonly used for a population variance and the divisor n-1 for a sample variance.

var·i·ance

(var'ē-ăns)
1. The state of being variable, different, divergent, or deviate; a degree of deviation.
2. A measure of the variation shown by a set of observations, defined as the sum of squares of deviations from the mean, divided by the number of degrees of freedom in the set of observations.

variance (s2)

(in statistics) the variation around the ARITHMETIC MEAN. It is calculated as the average squared deviation of all observations from their mean value. The square root of variance is the STANDARD DEVIATION
References in periodicals archive ?
On operating expenses, GHS198.61 million was more than the budgeted amount of GHS151.04 million, representing a negative variance of 31 percent of the budgeted amount.
He stated that the financial years 2016/2017, 2017/2018 and 2018/2019 training variances were as follows; P524 777, P3 216 647 and P2 213 729 respectively.
(31) A "digital sign" is defined as "[a] sign or component of a sign that uses changing lights to form a message or series of messages that are electronically programmed or modified by electronic processes." (32) In light of the above portions of the Code, the report prepared by Kansas City's Planning and Development Department staff opined that granting the variance was beyond the KC-BZA's authority.
Employee variance can take on many forms, but we concentrate on productivity so that companies can expand their capacity in a given period of time.
Changes in size error variance over time were modeled as a step function with seven various classes depending on age (1-40, 41-80...
For example, a systematic meta-analysis by Scheerens and Bosker (1997) reports that schools accounted for 19 per cent of attainment differences between pupils when initial differences between students are not accounted for, but 8 per cent of the variance when these initial differences are accounted for.
Allan variance method could be used to analyze the common five basic gyro noise terms, including angle random walk, rate random walk, bias instability, quantization noise, and rate ramp.
Variance components were estimated by restricted maximum likelihood method, using Wombat package [5] and the models were compared by -Log L, Schwarz Bayesian information criterion (BIC) and Akaike's information criterion (AIC).
A variety of estimators are available in conventional sampling design to estimate the population variance, but these estimators have low efficiency for rare and clustered population.
This study aimed to compare the functions of Wilmink and Ali and Schaeffer with Legendre polynomials in random regression models with different residual variance structures, in the estimation of genetic parameters for test-day milk production of Holstein Friesians reared in Rio Grande do Sul.
At their core, robos are based on mean-variance optimization (MVO) the key to which is a portfolio variance formula that works like this in a two-asset example: