> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ntop.com/llms.txt
> Use this file to discover all available pages before exploring further.

# STDEV

> AI context for STDEV. Not linked in navigation.

> This page is for AI assistant context only. To use this package, visit [community.ntop.com](https://community.ntop.com/packages/ntop/stdev).

## Summary

In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indi

## Package Details

| Field            | Value                                                               |
| ---------------- | ------------------------------------------------------------------- |
| **ID**           | `stdev`                                                             |
| **Type**         | Block                                                               |
| **Author**       | nTop                                                                |
| **Version**      | 1.0.0                                                               |
| **nTop Version** | 5.43+                                                               |
| **Domain**       | Geometry                                                            |
| **Complexity**   | Beginner                                                            |
| **Tags**         | `stdev`, `statistics`, `standard`, `deviation`, `measure`, `amount` |
| **License**      | MIT                                                                 |
| **Verified**     | Yes                                                                 |

***

In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indicates that the values are spread out over a wider range.

## Installation

Clone this repo or copy the package folder into your nTop workspace:

```bash theme={null}
git clone https://github.com/nTopology/Utilities.git
```

The package lives at `packages/ntop/stdev/`.

## Inputs

| Name                 | Type        | Description                                                                                                   |
| -------------------- | ----------- | ------------------------------------------------------------------------------------------------------------- |
| `Scalar List`        | Scalar List | Samples to compute data metric                                                                                |
| `Trimming Threshold` | Scalar      | Trimming Threshold from 0-0.5.  A value of 0.1 removes 10% of the largest and smallest values of the dataset. |

## Outputs

| Name                 | Type   | Description |
| -------------------- | ------ | ----------- |
| `Standard Deviation` | Scalar | Output.     |

## License

MIT.

***

## Source

[https://community.ntop.com/packages/ntop/stdev](https://community.ntop.com/packages/ntop/stdev)