## Formula generator for LOGINV FUNCTION function

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# Formula generator

Spreadsheet AI is the #1 AI for generating and comprehending Excel and Google Sheets formulas. With its advanced capabilities, it goes beyond the basics by providing support for VBA and custom tasks. Streamline your spreadsheet with Spreadshee AI

# How to generate an LOGINV FUNCTION formula using AI.

To obtain information on the ARRAY_CONSTRAIN formula, you could ask the AI chatbot the following question: “ To obtain the LOGINV formula for a specific purpose, you could ask an AI chatbot the following question: "What is the formula in Excel to calculate the inverse of the logarithmic normal cumulative distribution function (LOGINV)?"”

## LOGINV FUNCTION formula syntax

The LOGINV function in Excel is used to calculate the inverse of the logarithmic normal distribution. Its syntax is as follows: =LOGINV(probability, mean, standard_dev) - Probability: The probability value at which you want to evaluate the inverse logarithmic normal distribution. - Mean: The mean of the logarithmic normal distribution. - Standard_dev: The standard deviation of the logarithmic normal distribution. The LOGINV function returns the value at which the specified probability occurs in the logarithmic normal distribution.

## Use Cases & Examples

In these use cases, we use the LOGINV function to calculate the inverse of the cumulative log-normal distribution for a given probability, and the LOGNORM.INV function to calculate the inverse of the log-normal distribution for a given probability and parameters.

## Calculating Inverse Log-Normal Cumulative Distribution

### Description

Calculates the inverse log-normal cumulative distribution for a given value, mean, and standard deviation.

### Result

LOGINV(x, mean, standard_deviation)

## Estimating Stock Prices

### Description

Estimates the future stock prices based on the log-normal distribution using the LOGINV function.

### Result

LOGINV(x, mean, standard_deviation)

## Risk Analysis

### Description

Analyzes the risk associated with a particular investment using the inverse log-normal cumulative distribution.

### Result

LOGINV(x, mean, standard_deviation)

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### Provide Clear Context

When describing your requirements to the AI, provide clear and concise context about the data you have, the specific task you want to accomplish, and any relevant constraints or conditions. This helps the AI understand the problem accurately.

### Include Key Details

Include important details such as column names, data ranges, and specific criteria that need to be considered in the formula. The more precise and specific you are, the better the AI can generate an appropriate formula.

### Use Examples

If possible, provide examples or sample data to illustrate the desired outcome. This can help the AI better understand the pattern or logic you are looking for in the formula.

### Mention Desired Functionality

Clearly articulate the functionality you want the formula to achieve. Specify if you are looking for lookups, calculations, aggregations, or any other specific operations.