# Deviation, Absolute Deviation, and Squared Deviation

`D00-F05-A01` · Financial Mathematics, Statistics, and Data Foundations → Dispersion, Shape, and Robust Statistics · archetype `record-transform` · difficulty 1/5 · verification **verified**

Full page: https://docs.thefintechbuilder.com/foundations/dispersion-shape-and-robust-statistics/deviation-absolute-deviation-and-squared-deviation/
Agent skill: `npx skills add IslamBaraka90/Fintech-Algorithms-Library` — https://docs.thefintechbuilder.com/guides/agent-skill/

## Install and import

```bash
npm install fintech-algorithms
```

```ts
import { deviationAbsoluteDeviationAndSquaredDeviation } from "fintech-algorithms/foundations/dispersion-shape-and-robust-statistics/deviation-absolute-deviation-and-squared-deviation";
```

## Signature

```ts
deviationAbsoluteDeviationAndSquaredDeviation(input)
```

Centres a numeric series on its arithmetic mean and returns the three per-observation distance forms built from that centring: signed, absolute, and squared.

## Parameters

| Name | Type | Required | Notes |
| --- | --- | --- | --- |
| `input` | `{ values: number[] }` | yes | The observations to centre, under the key `values`. Entries are coerced with `Number` and must all be finite. |

## Returns

`{ center: number; deviations: number[]; absoluteDeviations: number[]; squaredDeviations: number[] }`

`center` is the arithmetic mean; the three arrays hold `value - center`, its absolute value, and its square, each aligned to the caller's input order.

## Errors

- When `input` is null, an array, or not an object — throws TypeError
- When `values` is missing, is not an array, or is empty — throws RangeError
- When any entry of `values` does not coerce to a finite number — throws RangeError

## Complexity

Time `O(n log n)`, space `O(n)`.

## Worked example

This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.

### Input

`input`:

```json
{
  "values": [1, 2, 2, 4, 9]
}
```

### Call

```ts
deviationAbsoluteDeviationAndSquaredDeviation(input)
```

### Returns

object with 2 fields: center, deviations

```json
{
  "center": 3.6,
  "deviations": [-2.6, -1.6, -1.6, 0.3999999999999999, 5.4]
}
```

## Verification and provenance

Tier: **verified** (via input-expected).

The worked example below is the figure published in this algorithm's article, replayed and asserted by the test suite on every build. The arithmetic cannot drift without the build failing.

Both tiers guarantee the signature. Full explanation: https://docs.thefintechbuilder.com/guides/verification/

Generated from the docs.json payload shipped inside fintech-algorithms@0.13.0.
The signature and parameter list are checked against the compiled implementation at build time,
so a description that contradicts the code fails the build rather than reaching this file.

## Links

- Article (how it works, step by step): https://thefintechbuilder.com/foundations/dispersion-shape-and-robust-statistics/deviation-absolute-deviation-and-squared-deviation/
- Implementation source: https://github.com/IslamBaraka90/Fintech-Algorithms-Library/blob/main/src/foundations/dispersion-shape-and-robust-statistics/deviation-absolute-deviation-and-squared-deviation/impl.ts
- Package on npm: https://www.npmjs.com/package/fintech-algorithms
- Domain index for agents: https://docs.thefintechbuilder.com/foundations/llms.txt