# Numerical Outlier Detection

Exposes any numerical outliers within your dataset for a specific field. This template utilizes Z-score or Median Absolute Deviation (MAD) to help discover any numerical data that might be considered an outlier.

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### Input Requirements

* A data file with numeric fields in which you'd like to run analysis on. (Purchase orders, invoices, expense reports, journal entries, etc.).&#x20;
* [Parameters](https://docs.auditboardanalytics.com/workflows/parameters)
  1. Outlier Individual Z-Score: Z-Score Bound: Z-score in which if exceeded you would consider a number to be an outlier&#x20;
  2. [File Input Parameters](https://docs.auditboardanalytics.com/workflows/parameters/file-input-parameters)

### Output Expectations

* An identification of numerical outliers within your population dataset.