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Google Sheets

LOGNORM.INV is a function in Google Sheets that calculates the inverse of the natural logarithm of a number. It is used to find the probability of a certain event occurring, based on a given number. To use the function, you input the number you want to calculate the inverse of, and the function will return the probability of that event occurring.

LOGNORM.INV is a function in Google Sheets that calculates the inverse of the natural logarithm of a number. The syntax for this function is: LOGNORM.INV(number)

LOGNORM.INV is a function in Google Sheets that calculates the inverse of the log-normal distribution. This function can be used to estimate the probability of an event occurring, given that the event has a log-normal distribution. For example, if you want to know the probability that an event will occur that has a 2% probability of occurring, you can use the LOGNORM.INV function to calculate the inverse of the log-normal distribution for a 2% probability.

LOGNORM.INV should not be used when the values to be analyzed are not normally distributed. The function is designed to work with data that is Normally distributed, and will not produce accurate results when used with other types of data. Additionally, LOGNORM.INV should not be used when there are fewer than 30 data points in the set, as the function relies on this minimum in order to produce accurate results.

LOGNORM.INV() is the inverse of the LOGNORM() function. It calculates the area under the normal curve from negative infinity to a given point. The function takes two arguments: the first is the normal distribution mean, and the second is the standard deviation.

Other similar formulae in Google Sheets include the NORM.INV() function, which calculates the inverse of the NORM() function. It returns the value of the normal distribution at a given point. The function takes two arguments: the first is the normal distribution mean, and the second is the standard deviation.

The T.INV() function calculates the inverse of the student's t-distribution. It takes two arguments: the first is the t-distribution mean, and the second is the degrees of freedom.

The F.INV() function calculates the inverse of the F-distribution. It takes two arguments: the first is the F-distribution mean, and the second is the degrees of freedom.

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