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Formula Generator - LOGINV function

The LOGINV function returns the value of the inverse log-normal cumulative distribution with a given mean and standard deviation at a specified value. It is commonly used in statistical analysis and risk assessment to estimate probabilities and analyze data that follows a log-normal distribution.
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How to generate an LOGINV formula using AI.

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)?"

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Step 1: Describe Your Formula
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Step 2: Copy Syntax

LOGINV 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.
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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.