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A measure of the average distance between each of a set of data points and their...
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The quality or state of being variant; change of condition; variation.
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The expected value of the square of the deviation from the mean of a randomly distributed variable; the second moment about the mean. This is also the square of the standard deviation.
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See Sample Variance.
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The variance , of a random variable is the expected or average value of the square of the difference between the random variable and its mean. We usually refer to the variance of a set of data as
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The average of the squared deviation (difference from the mean).
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A number defining the extent to which a series of numbers vary from their average.
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A measure of dispersion which is the mean of the squares of deviations of the observations from the population mean. Estimated as the ratio of a sum of squares to the corresponding number of degrees of freedom.
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A deviation in a building or zoning ordinance granted by an appeal authority upon relevant grounds being proven.
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The measure of the flux a player's bankroll goes through.
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In estimating population characteristics, the variance is a description of the precision of an estimate. The smaller the variance the more certain we are that the true population value is close to our estimate. The standard error, another common measure of precision, is the square root of the variance.
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Deviation or difference between an estimated value and the actual value.
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In statistics: The sum of the squared deviations, divided by one less than the number of observations. A statistical measure of variation in a population.
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A measure of how much an economic or statistical variable varies across values or observations. Its calculation is the same as that of the covariance, being the covariance of the variable with itself.
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The average squared deviation about the mean of a set of data. A measure of the variation around the central class of a distribution; the average squared deviation of the observations from their mean value.
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Squared deviations of scores from the mean; indicator of the variability or spread of a set of scores
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a measure based on the average deviation of a set of scores from their group mean. (54, 647)
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Statistical term that quantifies the dispersion of data such as rates or prices around the mean. For example, highly volatile rates are rates that are sometimes high above the mean and sometimes way below the mean. Less volatile rates are dispersed closer to the mean and therefore have smaller variances. Similar to, but not the same as, the average amount by which data deviates from the mean for that data.
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A measure of the variability of a frequency distribution. It is computed by finding the difference between each score and the mean (M), squaring the result, adding all these squared deviations, and dividing the sum by the number of cases. If N is the number of scores, then V = sum of (score - M)²/ N.
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A measure of dispersion around an expected value, or mean.
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A measure of the variability in the possible outcomes of a particular event.
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Variance gives a measure of dispersion of a random variable X from its mean, and its units are the square of the units of X. The theoretical variance of a random variable X is the expected value of (X-)2, and is written as . The variance of a sample x1,..., xn is defined as , and is more easily calculated from .
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The variance of a series of numbers is a measure of the variability of those numbers around the mean value. The variance is just the mean of the squares of the deviations around the mean.
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a measure of the variability or precision of a set of observations.
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A descriptive statistic which provides a measure of dispersion. It is obtained by squaring the standard deviation. See also analysis of variance, standard deviation, statistical analysis.
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a statistical measure of how values vary from the mean.
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If you have a sufficient advantage at the game you're playing, you expect to make money over the long haul. This is true whether the game is poker, blackjack, or craps, and whether your advantage is due to skill, cheating, or psychic powers. However, over a small period of time, you may do better or worse than what your average should be. For example, you may expect to make one big bet per hour at the poker table, but in a given hour it may not be uncommon for you to win or lose twenty big bets. Variance is the statistical measure of dispersion, or just how widely your results will be distributed. When variance is high enough, a small advantage may be of no use during your lifetime. When variance is low enough, a small sample will be much more likely to reflect your real advantage (or disadvantage). In other words, variance describes just how long the long haul is. In poker terms, high variance means that a small number of hands will not be very representative of your long-term expectation.
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A measure of dispersion of returns on investments based on deviations from the average or mean value.
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The value of the standard deviation squared.
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a measure of data variation; the mean of the squared deviation scores about the means of a distribution.
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The ups and down that your bankroll experiences
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A measure of how spread out a distribution is. It is computed as the average squared deviation of each number from its mean.
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The mean of squared deviations of individual values from the average. Is a measure of spread.
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Variance measures how dispersed the data is. The variance is equal to the average square of the difference between the individual scores and the mean. If there were three points 2, 7, and 9, the mean of these scores is (2+7+9)/3=6. The variance of this distribution equals ((2-6)2+(7-6) 2+(9-6) 2)/3. This equals (16+1+9)/3=8.7.
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The variation of returns based on deviations from the average value.
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A statistical measure of the dispersion of observation values in a data set. The variance of a sample is the sum of the square of each value in the data set subtracted from the mean divided by one less than the total number of observations in the data set.
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The amount actual time, real costs or final R & D results deviate from the values anticipated in a plan. Also in statistics the variance of set of n measurements x1, x2, ..., xn is the average of the squares of the deviations of the measurements about their mean.
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A permitted, one-time, deviation from specific requirements of a zoning ordinance because of the special hardship to a property owner.
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The average of squared deviations of scores from the mean is a theoretical measure of spread among scores in a set. Variance is in squared units, not the same units used to make observations. Typically, variance is a theoretical concepts or a general way of talking about spread of scores and is abbreviated Ïƒ 2, sigma squared. [See also standard deviation
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Variance is a measure of dispersion from average values.
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A number that expresses the spread of individual data points around the mean for a sample.
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the quality of being subject to variation
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an activity that varies from a norm or standard; "any variation in his routine was immediately reported"
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a deviation from a code requirement
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an approved condition that technically varies from Safeguards and Security directive requirements, but affords equivalent levels of protection without compensatory measures
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a permitted deviation from the literal requirements of the land use ordinance
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a request for a deviation from the Zoning Code for a particular development standard because of unusual circumstances associated with a particular site
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a request to allow a deviation from a development standard required by the Zoning Ordinance
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a request to deviate from current zoning requirements
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a specific approval to deviate dimensions like building height, lot area, parking spaces, setbacks, etc
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a tendency for a system or part of a system to deviate from some expected or desired standard or norm
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a time limited authorized deviation from the specifics of a Rule
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The mean square deviation from the mean. cf.  sample variance.
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The variance (S2) represents "average" squared deviations from the mean for a set of observations. Variances may be determined for linear combinations of observations as well.
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A measure of the swings in your bankroll. Games that are short handed or have wild players in them will be higher variance then full games with rocks.
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a measure of the amount of spread in a data set. A large variance indicates that there are many scores located away from the mean.
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In a data set, the sum of the squared deviations divided by one less than the number of elements in the set (sample variance s2) or by the number of elements in the set (population variance).
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A measure of variation within a distribution, determined by averaging the squared deviations from the mean of a distribution.
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The statistical measure of how your results will be dispersed.
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Variance is a measure of the swings and roundabouts of lady luck. In any game with an element of chance (small element of chance because poker is a skill game) there will be some swing towards positive variance (lucky) and negative variance (bad luck). As a prospective player you will experience both at some time or other.
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A measure of the dispersion shown by a set of observations, defined by the sum of the squares of deviations from the mean, divided by the number of degrees of freedom in the set of observations.
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A standard measure of the variation that exists in a series of values or of a frequency distribution. Estimated as the sum of the squares of the deviations from the mean value for the variable divided by the number of degrees of freedom
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Is a measure of volatility, risk, or statistical dispersion. It is the square of the standard deviation. The variance is calculated by: computing the mean of the series then taking the deviation or subtracting the mean from each observation, square the differences or deviations for each observation, and divide the sum of the squared deviations by the number of observations. This computation is the precursor to the standard deviation. The standard deviation is calculated by taking the square root of the variance.
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Statistical term describing the second central moment about the mean, a measure of scale or width, calculated by taking the average of the deviations squared.
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A measure of dispersion which is equal to the average of the square of the deviations of variables from their mean.
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A measure of variability that indicates how far all of the scores in a distribution vary from the mean.
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a measure of dispersion based on the degree to which elements of a sample or population differ from the average element.
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A measure of the up and down swings your bankroll goes through. Variance is not necessarily a measure of how well you play. However, the higher your variance, the wider swings you'll see in your bankroll.
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( Stat.). A measure of variability, being the square of the standard deviation or standard error. ( BCFT).
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The sum of each data point's distance from the mean, squared, and divided by the number of data points minus one.
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Statistical measure of dispersion of distribution, used as a measure to determine the risk of an investment. ield — The annual rate of return on an investment expressed as a percentage.
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Variance of a random variable is the value of the square of the deviation between that variable and its expected value. It is a measure of the dispersion of the individual unit values about their mean.
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The variance of a distribution is the average of squares of the distances from the values drawn from the mean of the distribution: var(x) = E[(x-Ex)2]. Also called 'centered second moment.' Nick Cox attributes the term to R.A. Fisher, 1918. Source: econterms
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the square of a standard deviation; a measure of the difference between actual performance and forecast, or standard, performance. enture capital: money used to finance new companies or projects, especially those with high earning potential and high risk. enture funding: the round of funding for a new company that follows seed funding provided by venture capitalists.
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Variance measures the dispersion of a return distribution. It is the sum of the squares of a return's deviation from the mean, divided by . The value will always be â‰¥ 0, with larger values corresponding to data that is more spread out. Ïƒ (X - Î¼)2= X = observation value Î¼ = population mean N = number of observations
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a statistical measure of the dispersion of a set of values about its mean.
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A measure of the degree of spread among a set of values; a measure of the tendency of individual values to vary from the mean value. It is computed by subtracting the mean value from each value, squaring each of these differences, summing these results, and dividing this sum by the number of values in order to obtain the arithmetic mean of these squares.
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Variance is a statistic that describes the variation seen in a trait. Without variation, no genetic progress is possible, since genetically superior animals would not be distinguishable from genetically inferior ones.
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Removal of requirements for strict material control and accountability as special nuclear material when evaluations demonstrate that the proposed processing method for the material, the controls in place for normal handling of transuranic waste from the processing, and the limited quantity of special nuclear material present at any particular place and time preclude the need to take additional measures to address threats of diversion and theft.
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A statistic which measures how spread out or dispersed a set of data is. The value calculated will always be greater than or equal to zero, with larger values corresponding to data which is more spread out. If all data values are identical, the variance is equal to zero. The square root of the variance is called the standard deviation. Since the standard deviation is measured in the same units as the data, it is more frequently used than the variance. The variance and standard deviation are calculated in the One Variable Analysis Statlet.
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The variability of returns on a game, measured statistically.
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With respect to poker, the distribution of your results over a a set of hands or sessions, or the swings in a positive or negative direction of cash flow. The greater the variance, the wilder the swings; the lower the variance, the more likely a given session results will be close to one's average result.
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Variance is the average squared deviation from the mean or the standard deviation squared. The statistic is a measure of variability or dispersion of the scores.
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A measure of the variability of a set of observations that are subject to some chance variation, equal to the expected squared difference between a single observation and the average of all possible observations obtained in the same manner. The variance is the square of the standard error of estimates. The variance indicates the likely difference between the value computed from the CBECS sample and the average of the values that could have been computed from all possible samples that might have been obtained by the same sample selection process. (See Standard Error.)
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A measure of the amount of diversity or variation in the scores received for a question. The analysis of variance is key to many statistical measures of association.
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A statistical measure that indicates the width of a distribution around the mean. It is the second moment of a distribution. A related measure is the standard deviation, which is the square root of the variance. (See CreditMetrics Technical Document, page 16.)
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When all values in a plus and minus deviations from the population mean. The variance is the mean of the squared deviations.
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A measure of the spread or dispersion of scores within a distribution. A larger variance indicates that individual cases are further from the mean; a smaller variance indicates that individual scores are closer to the mean.
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A statistical measure of population dispersion calculated as an average absolute deviation of individual population data points from the population average. addaa fageenya View
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The Variance of a random variable is the square of the standard deviation of that variable.
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a statistical measure of variation in a set of data. The average squared deviation of data points from the mean.
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The positive or negative swings in ones bankroll. This is not necessarily a measure of a playerâ€(tm)s skill level but it is a good indicator of a playerâ€(tm)s style
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The variance of a variable is related to the error by: (for a single measurement). The variance of the quantity is found from: where is the mean. A variance is the special case of a covariance where both quantities ( and in the glossary entry for covariance) are the same. Variances occupy the diagonal elements of a covariance matrix.
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Deviation from a standard or norm
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A method by which a government body formally deviates from the terms of its sign or zoning ordinance. Typically, obtaining a variance for a sign requires the applicant to show that it would not be contrary to the public interest or that a literal enforcement of the regulations would result in unnecessary and undue hardship (due to conditions unique to the property).
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(Statistics) A measure of the spread or dispersion of a variable about its Mean or Arithmetic Mean value. The variance is calculated by taking the sum of the squares of the deviations, that is, the sum of the difference between the observed value and the series mean value, and dividing by the sample size (number of observations). The variance for a large data set (the population variance) is calculated as: s2 [sigma] = ( xi — x [sigma] = ( xi — x where: xi is an individual observation; is the mean of all observations; and is the number of observations. xi is an individual observation; is the mean of all observations; and is the number of observations. For smaller data sets (typically less than 50) the sample variance (s2) is calculated by replacing with —1 in this equation. The positive square root of the variance is called the Standard Deviation. Both the variance and the standard deviation are non-negative, by definition.
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A measure of differences between individual scores in a set of scores.
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Grants permission to deviate from a zoning restriction.
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(see moments, standard deviation) is the second central moment, and is a scale parameter of a probability distribution. [pg 32, 2
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A measure of variability (or spread). It is denoted by Ïƒ2 and defined as the mean-square deviation from the mean, that is, the mean of the squares of the differences between individual values of and the mean value where denotes expected value. The positive square root Ïƒ of the variance is called the standard deviation. An unbiased estimate 2 of the variance Ïƒ2 is obtained from independent observations and their sample average as follows: and the positive square root of 2 is taken as an estimate of the standard deviation Ïƒ.
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A mathematical measure of the dispersion of the values of a variable around its mean. The variance may arise from a sampling of the population under study, or may just measure the variability of population values around its mean. The variance is denoted as sigma squared, s2.
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The average of the squared differences between the values of a variable and the mean. The variance estimates the spread of a distribution.
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The square of the standard deviation. W X
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Mathematically, the sample variance is the sum of squares of the differences between the individual values of a set and the arithmetic average of the set, divided by one less than the number of values: For a finite population, the variance s2 is the sum of squares of deviations from the arithmetic mean, divided by the number of values in the population: where µ is the true arithmetic mean of the population.
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Variance is a measure of the variability or dispersion in the distribution of measurements or scores. For example, consider hemoglobin measurements on two separate groups of children. The measurements in group A may be widely dispersed while the measurements in group B may be clustered around the central point. In this case, the group A distribution would have greater variability or variance than group B. In statistical terms, the variance is the mean of the squared deviations about the mean. Formulas for the calculation of variance can be found in any basic statistics text book.
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A measure of deviation from the mean in a sample or population.
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A measure of dispersion of a set of data points around their mean value. The mathematical expectation of the average squared deviations from the mean. The square root of the variance is the standard deviation.
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The measure of the variability of the variable. The statistical measure of how similar a population is in a characteristic being studied. It is the average squared distance of all measurements from the mean.
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A measure of how much a set of numbers, known or future possibilities, varies... more on Variance
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The degree to which a set of quantities vary: A measure of the spread of scores in a distribution of scores, that is, a measure of dispersion. The larger the variance, the further the individual cases are from the mean. The smaller the variance, the closer the individual score are to the mean. Specifically, the population variance is the mean of the sum of the squared deviations from the mean score. The Sample variance is computed by dividing the sum of squared deviations by the number in the sample minus 1. The Standard Deviation is the square root of the variance.
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An allowable deviation from the land use prescribed by the existing zoning ordinances.
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A measure of the dispersion of a set of data points around their mean value. It is a mathematical expectation of the average squared deviations from the mean.
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Measures the volatility of a data set/data points from the mean. It is calculated by adding the squares of the standard deviations from the mean and dividing by the number of data points, i.e. taking the average of the standard deviations.
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The second moment around the mean; the expected value of the square of the deviations of a random variable from its mean value.
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1) The difference between the expected (budgeted or planned) value and the actual. 2) In statistics, a measurement of dispersion of data. See: estimate of error.
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The most commonly used statistical measure of dispersion. The first step is to square the deviations of a data item from its average value. Then the average of the squared deviations is calculated to obtain an overall measure of variability.
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In probability theory and statistics, the variance of a random variable (or somewhat more precisely, of a probability distribution) is a measure of its statistical dispersion, indicating how its possible values are spread around the expected value. Where the expected value shows the location of the distribution, the variance indicates the scale of the values. A more understandable measure is the square root of the variance, called the standard deviation.
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