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