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Learn/AI/Statistics
AI•Statistics

Statistic Variability (Spread)

Descriptive Statistics is broken down into

Tendency and

Variability.

Variability uses these measures:

Min and Max

Variance

Deviation

Distribution

Skewness

Kurtosis

The Variance

In statistics, the Variance is the average of the squared differences from the Mean Value. In other words, the variance describes how far a set of numbers is Spread Out from the mean (average) value. Mean value is described in the previous chapter.

This table contains 11 values:

10 11 14 14 15

Calculate the Variance:

// Calculate the Mean (m)

let m = (7+8+8+9+9+9+10+11+14+14+15)/11;
// Calculate the Sum of Squares (ss)
let ss = (7-m)**2 + (8-m)**2 + (8-m)**2 + (9-m)**2 + (9-m)**2 + (9-m)**2 + (9-m)**2 + (10-m)**2 + (11-m)**2 + (14-m)**2 + (15-m)**2;
// Calculate the Variance let variance = ss / 11;

Or use a math library like math.js

const values = [7,8,8,9,9,9,10,11,14,14,15];
let variance = math.variance(values, "uncorrected");

Standard Deviation

Standard Deviation is a measure of how spread out numbers are.

The symbol is

σ (Greek letter sigma).

The formula is the

√ variance (the square root of the variance). The Standard Deviation is (in JavaScript): // Calculate the Mean (m)

let m = (7+8+8+9+9+9+10+11+14+15)/11;
// Calculate the Sum of Squares (ss)
let ss = (7-m)**2 + (8-m)**2 + (8-m)**2 + (9-m)**2 + (9-m)**2 + (9-m)**2 + (9-m)**2 + (10-m)**2 + (11-m)**2 + (14-m)**2 + (15-m)**2;
// Calculate the Variance let variance = ss / 11;
// Calculate the Standard Deviation let std = Math.sqrt(variance);

Deviation is a measure of

Distance.

How far

(on average), all values are from the Mean (the Middle). Or if you use a math library like math.js

const values = [7,8,8,9,9,9,9,10,11,14,15];
let std = math.std(values, "uncorrected");

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Descriptive Statistics

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Distribution