Google Sheets NORM.INV Function: Syntax, Examples & Tips

The NORM.INV function returns the inverse of the normal distribution for a specified mean and standard deviation, useful for statistical analysis.
Google Sheets
NORM.INV(x, mean, standard_deviation)

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On this page
  1. Parameters
  2. What is the NORM.INV Function?
  3. A Practical Example
  4. NORM.INV Formula
  5. Result of the Formula
  6. Why Use NORM.INV?
  7. Key Takeaways:
  8. Example use case

Parameters

x: The value for which you want to find the corresponding z-score in the normal distribution.

mean: The arithmetic mean of the distribution, which is the average value around which the data is centered.

standard_deviation: The standard deviation of the distribution, which measures the dispersion or spread of the data points around the mean.

What is the NORM.INV Function?

The NORM.INV function in Google Sheets is a statistical function used to calculate the inverse of the normal cumulative distribution for a specified mean and standard deviation. This function is particularly useful in scenarios involving probability and statistics, where you need to determine the value corresponding to a given probability in a normal distribution.

In simpler terms, NORM.INV allows you to find the value of a variable that corresponds to a specific percentile in a normal distribution, which can be helpful in various fields such as finance, quality control, and social sciences.

A Practical Example

Imagine you are analyzing the test scores of a group of students, and you want to determine the score that corresponds to the top 10% of the distribution.

Test Scores Data:

StudentIDScore
185
290
378
492
588

You know that the average score (mean) is 86.6 and the standard deviation is 5.5. You want to find the score that separates the top 10% of students from the rest.

NORM.INV Formula

To achieve this, you would use the NORM.INV function as follows:

Google Sheets
=NORM.INV(0.9, 86.6, 5.5)

In this formula:

  • 0.9 is the probability (90th percentile) you are interested in.
  • 86.6 is the mean score of the distribution.
  • 5.5 is the standard deviation of the scores.

Result of the Formula

When you apply the NORM.INV formula, it will return a score value. For instance, if the output is 91.2, this means that students who scored above 91.2 are in the top 10% of the distribution.

Interpretation of the Result:

  • If a student scores 91 or higher, they are in the top 10% of the class.
  • This can help educators identify high achievers and provide them with appropriate recognition or resources.

Why Use NORM.INV?

NORM.INV is beneficial because it simplifies the process of determining thresholds in normally distributed data. It allows for quick assessments of performance, risk analysis, and decision-making based on statistical data. By using this function, you can make informed decisions based on the distribution of data.

Key Takeaways:

  • NORM.INV: A statistical function that calculates the inverse of the normal cumulative distribution.
  • Application: Useful for determining thresholds in various fields such as education, finance, and quality control.
  • Data Analysis: Helps in making informed decisions based on statistical distributions.
  • Common Use Cases: Ideal for identifying performance benchmarks, risk assessment, and analyzing data distributions.

NORM.INV is an essential function for anyone working with statistical data in Google Sheets, providing a powerful way to enhance data analysis and reporting capabilities.

Happy analyzing!

Example use case

You have a dataset of test scores in Column A and want to determine the score threshold for the top 10% of students. Use NORM.INV to calculate the cutoff score based on the mean and standard deviation, helping identify high achievers efficiently.

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