{"id":333,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/normsdist\/"},"modified":"2021-02-13T11:35:39","modified_gmt":"2021-02-13T11:35:39","slug":"normsdist","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/normsdist\/","title":{"rendered":"NORMSDIST"},"content":{"rendered":"

Today, we will explore the NORMSDIST<\/strong> function in Excel and Google Sheets. This function calculates the standard normal cumulative distribution function for a specified value, essentially providing the probability that a value drawn from a standard normal distribution is less than or equal to that specified value.<\/p>\n

Basic Syntax<\/h2>\n

The syntax for the NORMSDIST<\/strong> function is as follows:<\/p>\n

=NORMSDIST(z)<\/code><\/pre>\n
    \n
  • z<\/code>: The value for which you want to determine the probability in the standard normal distribution.<\/li>\n<\/ul>\n
    Example 1: Calculating Standard Normal Distribution Probability<\/h2>\n
    Consider a scenario where you need to find the probability that a variable, which is part of a standard normal distribution, is less than or equal to 1.5.<\/p>\n\n\n\n
    Z Value<\/th>\nStandard Normal Distribution Probability<\/th>\n<\/tr>\n
    1.5<\/td>\n=NORMSDIST(1.5)<\/td>\n<\/tr>\n<\/table>\n
    In this example, entering =NORMSDIST(1.5)<\/code> into a cell returns the probability of a randomly selected value from a standard normal distribution being less than or equal to 1.5.<\/p>\n
    Example 2: Using NORMSDIST for Z-test<\/h2>\n
    The NORMSDIST<\/strong> function is also commonly applied in hypothesis testing, such as during a Z-test to compare a sample mean against a population mean. Here’s how you can use the function in this context:<\/p>\n
    Assume you have the following parameters: a sample mean of 72, a population mean of 70, a standard deviation of 5, and a sample size of 30. You wish to test if the sample mean significantly differs from the population mean with a 5% level of significance.<\/p>\n
    First, calculate the Z-score:<\/p>\n
    = (sample mean - population mean) \/ (standard deviation \/ SQRT(sample size))<\/code><\/pre>\n
    Next, determine the critical Z-value with the NORMSDIST<\/strong> function:<\/p>\n
    = 1 - NORMSDIST(ABS(Z-score))<\/code><\/pre>\n
    If the Z-value computed exceeds the critical Z-value, the null hypothesis can be rejected.<\/p>\n
    These examples illustrate how the NORMSDIST<\/strong> function can be utilized in Excel and Google Sheets for various statistical calculations and analyses.<\/p>\n","protected":false},"excerpt":{"rendered":"
    Returns the standard normal cumulative distribution<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[205],"tags":[],"class_list":["post-333","post","type-post","status-publish","format-standard","hentry","category-compatibility"],"acf":[],"yoast_head":"\nExcel NORMSDIST Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel NORMSDIST function does. 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