Calculate the inverse of the lognormal cumulative distribution function.

`LOGNORM.INV(probability, mean, std_dev)`

- probability - required, value at which the inverse function is to be evaluated
- mean - required, average of ln(x)
- standard_dev - required

The function can be used to calculate the inverse lognormal cumulative distribution. For example, if we have three inputs of A2=0.4, A3=2, and A4=1, the function would return a value of 0.8147.

The function can also be used to calculate the inverse of the lognormal cumulative probability. For example, if we have three inputs of A2=0.85, A3=1.5, and A4=0.5, the function would return a value of 2.2449.

The function can also be used to calculate the inverse of the lognormal cumulative distribution for a given set of parameters. For example, if we have three inputs of A2=0.2, A3=4, and A4=2, the function would return a value of 6.6349.

The function can also be used to calculate the inverse of the lognormal cumulative probability for a given set of parameters. For example, if we have three inputs of A2=0.95, A3=3, and A4=1.5, the function would return a value of 4.6845.

The LOGNORM.INV function is used to calculate the inverse of the lognormal cumulative distribution function, which is used to analyze logarithmically transformed data.

- The
**LOGNORM.INV**function is used to find the inverse of the lognormal cumulative distribution function. - The lognormal distribution is used to analyze data that has been logarithmically transformed.

The LOGNORM.INV function calculates the inverse of the lognormal cumulative distribution function.

The lognormal distribution is used to analyze logarithmically transformed data.

The syntax for the LOGNORM.INV function is LOGNORM.INV(probability, mean, standard_dev).

The arguments of the LOGNORM.INV function are probability, mean, and standard_dev.

Yes, the probability argument is required.

The probability argument is a probability associated with the lognormal distribution.

Yes, the mean argument is required.

The mean argument is the mean of ln(x).

Yes, the standard_dev argument is required.

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