YAML
Statistical Measures - YAML
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
- code: "01"
slug: "mean"
name: "Mean"
description: "The sum of all data divided by the number of data points."
category: "Central Tendency"
- code: "02"
slug: "median"
name: "Median"
description: "The middle value when data is arranged in order of magnitude."
category: "Central Tendency"
- code: "03"
slug: "mode"
name: "Mode"
description: "The value that appears most frequently in the data."
category: "Central Tendency"
- code: "04"
slug: "variance"
name: "Variance"
description: "The average of squared deviations from the mean."
category: "Dispersion"
- code: "05"
slug: "standard-deviation"
name: "Standard Deviation"
description: "The square root of variance, representing data spread."
category: "Dispersion"
- code: "06"
slug: "coefficient-of-variation"
name: "Coefficient of Variation"
description: "Standard deviation divided by mean, representing relative dispersion."
category: "Dispersion"
- code: "07"
slug: "range"
name: "Range"
description: "The difference between maximum and minimum values."
category: "Dispersion"
- code: "08"
slug: "skewness"
name: "Skewness"
description: "A measure of the asymmetry of a distribution."
category: "Shape Measure"
- code: "09"
slug: "kurtosis"
name: "Kurtosis"
description: "A measure of the peakedness and tail thickness of a distribution."
category: "Shape Measure"
- code: "10"
slug: "percentile"
name: "Percentile"
description: "Values that divide data into 100 equal parts."
category: "Position Measure"