> For the complete documentation index, see [llms.txt](https://docs.inforiver.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inforiver.com/formula-syntax/statistical-functions/normsdist.md).

# NORMSDIST

Calculates the standard normal distribution probability for a specific value to analyze data variability on a standardized scale.

The **NORMSDIST** function returns the standard normal distribution for a given value. It is a specific case of the normal distribution where the mean is 0 and the standard deviation is 1. It is used to determine the probability that a random variable falls at or below a specific point on the standard normal curve.

### Syntax

<pre class="language-javascript"><code class="lang-javascript"><strong>NORMSDIST(value, cumulative)
</strong></code></pre>

### Arguments

The **NORMSDIST** function syntax has the following arguments:

* value - The numeric value for which you want to calculate the distribution. Required.
* cumulative - A logical value that determines the form of the function. If TRUE, it returns the cumulative distribution function; if FALSE, it returns the probability density function. Required.

### Example

<pre class="language-javascript"><code class="lang-javascript"><strong>NORMSDIST(1, true)
</strong>// Returns 0.8413
</code></pre>

You can use the **NORMSDIST** function to analyze standardized data and determine the percentile or probability of a specific outcome occurring within a standard bell curve.

<figure><img src="https://3062809325-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEbkCXCUXmtUq5tcnUtZE%2Fuploads%2FIl6vr6VThLRku2bnD5F1%2F2026-02-18_12h02_01.png?alt=media&amp;token=8cd71ac3-5bbb-4fce-b21e-59cddf14baf3" alt=""><figcaption><p>NORMSDIST function</p></figcaption></figure>

### Excel Equivalent

[NORMSDIST](https://support.microsoft.com/en-us/office/normsdist-function-463369ea-0345-445d-802a-4ff0d6ce7cac)

### FAQs

**Q1. What is the difference between the cumulative distribution function (CDF) and the probability density function (PDF)?**

* The CDF (cumulative = TRUE) calculates the total area under the curve to the left of x, representing the probability that a value is less than or equal to x.&#x20;
* The PDF (cumulative = FALSE) calculates the height of the curve at a specific point x, which describes the relative likelihood of the variable taking that exact value.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.inforiver.com/formula-syntax/statistical-functions/normsdist.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.