INI
Statistical Measures - INI
Statistical measures are indicators used to quantify and represent data characteristics. They include measures of central tendency (mean, median, mode) that represent the center of data, measures of dispersion (variance, standard deviation, coefficient of variation) that indicate data spread, and measures of distribution shape. These are widely used in data analysis, quality control, and business decision-making.
statistics
data analysis
central tendency
dispersion
descriptive statistics
quality control
[item.mean]
code=01
slug=mean
name=Mean
description=The sum of all data divided by the number of data points.
category=Central Tendency
[item.median]
code=02
slug=median
name=Median
description=The middle value when data is arranged in order of magnitude.
category=Central Tendency
[item.mode]
code=03
slug=mode
name=Mode
description=The value that appears most frequently in the data.
category=Central Tendency
[item.variance]
code=04
slug=variance
name=Variance
description=The average of squared deviations from the mean.
category=Dispersion
[item.standard-deviation]
code=05
slug=standard-deviation
name=Standard Deviation
description=The square root of variance, representing data spread.
category=Dispersion
[item.coefficient-of-variation]
code=06
slug=coefficient-of-variation
name=Coefficient of Variation
description=Standard deviation divided by mean, representing relative dispersion.
category=Dispersion
[item.range]
code=07
slug=range
name=Range
description=The difference between maximum and minimum values.
category=Dispersion
[item.skewness]
code=08
slug=skewness
name=Skewness
description=A measure of the asymmetry of a distribution.
category=Shape Measure
[item.kurtosis]
code=09
slug=kurtosis
name=Kurtosis
description=A measure of the peakedness and tail thickness of a distribution.
category=Shape Measure
[item.percentile]
code=10
slug=percentile
name=Percentile
description=Values that divide data into 100 equal parts.
category=Position Measure