NORM.S.INV
The NORM.S.INV function calculates the inverse of the standard normal cumulative distribution for a specified probability. It is used in statistics to find the value at which the standard normal distribution reaches a given probability.
Syntax 🔗
=NORM.S.INV(probability)
probability | The probability for which you want to find the value on the standard normal distribution. Must be between 0 and 1 inclusive. |
About NORM.S.INV 🔗
NORM.S.INV in Excel helps you find the value on the standard normal distribution curve for a given probability. By entering a probability, this function returns the associated standard normal value, useful for various analytical tasks involving normal distributions.
Examples 🔗
To determine the z-score on the standard normal distribution for a cumulative probability of 0.25, use the NORM.S.INV function as follows: =NORM.S.INV(0.25). This provides the z-score for the given probability.
When conducting a statistical analysis and you need the threshold value on the standard normal distribution for a probability of 0.95, use the NORM.S.INV function with: =NORM.S.INV(0.95).
For a research project involving probability calculations, utilize NORM.S.INV to find the z-score for a probability of 0.1. Enter =NORM.S.INV(0.1) to obtain the relevant z-score for the specified probability.
Notes 🔗
Ensure that the probability provided as an argument falls within the range of 0 to 1, inclusive. The NORM.S.INV function operates based on the standard normal distribution and provides the inverse of the cumulative distribution for the specified probability, delivering insights for statistical analyses and probability assessments.
Questions 🔗
The probability argument in the NORM.S.INV function must be between 0 and 1, inclusively. Make sure to provide a valid probability value within this range to obtain accurate results.
How does the NORM.S.INV function assist in statistical analysis?The NORM.S.INV function aids in statistical analysis by providing the inverse of the standard normal cumulative distribution, which helps analysts determine the corresponding value on the standard normal curve for a given probability. This functionality is crucial for various statistical calculations and probability assessments.