How To Calculate Inverse Normal Distribution

Introduction & Importance

The inverse normal distribution, also known as the probit function, is crucial in statistics and data analysis. It helps us find the value that a random variable must take to achieve a specific probability. Understanding and calculating the inverse normal distribution is essential for various applications, such as hypothesis testing, confidence intervals, and risk analysis.

For more information, refer to these authoritative sources:

• NIST – Engineering Statistics Handbook
• UCLA – Normal-Probit Regression