Summary statistics

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An enumerated list of summary statistics for user defined CVT entries of quanititative descriptions.  more
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x name x image x article
x Arithmetic mean  
In mathematics and statistics, the arithmetic mean (or simply the mean) of a list of numbers is the sum of all of the list divided by the number of items in the list. If the list is a statistical population, then the mean of that population is...
x Standard deviation Standard deviation illustration
In probability theory and statistics, the standard deviation of a statistical population, a data set, or a probability distribution is the square root of its variance. Standard deviation is a widely used measure of the variability or dispersion,...
x Standard error SampleBiasCoefficient
The standard error of a method of measurement or estimation is the standard deviation of the sampling distribution associated with the estimation method. The term may also be used to refer to an estimate of that standard deviation, derived from a...
x Minimum  
The smallest value of a set of measurements. 
x Maximum  
The largest value of a set of measurements.
x Sample size  
The sample size of a statistical sample is the number of observations that constitute it. It is typically denoted n, a positive integer (natural number). Typically, all else being equal, a larger sample size leads to increased precision in estimates...
x Median  
In probability theory and statistics, a median is described as the number separating the higher half of a sample, a population, or a probability distribution, from the lower half. The median of a finite list of numbers can be found by arranging all...
x Geometric mean Plot geometric mean
The geometric mean, in mathematics, is a type of mean or average, which indicates the central tendency or typical value of a set of numbers. It is similar to the arithmetic mean, which is what most people think of with the word "average," except...
x Absence    
x Less than    
x Linear relationship - Positive    
x Greater than    
x Linear relationship - Negative    
x Single value    
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