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In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation (SD) is obtained as the square root of the variance. Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.
Variance is a statistic that is used to measure deviation in a probability distribution. Deviation is the tendency of outcomes to differ from the expected value. Studying variance allows one to quantify how much variability is in a probability distribution.
Variance is a measure of dispersion that is used to check the spread of numbers in a given set of observations with respect to the mean. Understand variance using solved examples.
Learn about range, variance, and standard deviation as measures of dispersion in statistics.
Variance is a statistical measure that quantifies the spread or dispersion of a set of data points. It indicates how much the individual data points in a dataset differ from the mean (average) of the dataset.
Variance is a measurement of the spread between numbers in a data set. In particular, it measures the degree of dispersion of data around the sample's mean. Investors use...
Variance is a measure of variability in statistics. It assesses the average squared difference between data values and the mean. Unlike some other statistical measures of variability, it incorporates all data points in its calculations by contrasting each value to the mean.
The variance is a measure of variability. It is calculated by taking the average of squared deviations from the mean. Variance tells you the degree of spread in your data set. The more spread the data, the larger the variance is in relation to the mean. Why does variance matter?
Variability describes how far apart data points lie from each other and from the center of a distribution. Along with measures of central tendency, measures of variability give you descriptive statistics that summarize your data. Variability is also referred to as spread, scatter or dispersion. It is most commonly measured with the following:
Variance is the expected value of the squared variation of a random variable from its mean value, in probability and statistics. Informally, variance estimates how far a set of numbers (random) are spread out from their mean value. The value of variance is equal to the square of standard deviation, which is another central tool.