# NORMSDIST

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&#x26;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.