LOGNORMDIST

The LOGNORMDIST function returns the probability density function of a log-normal distribution for a specified value. It is useful in statistics and finance for modeling skewed data that follows a log-normal pattern.

Syntax 🔗

=LOGNORMDIST(x, mean, standard_dev)

x The value at which to evaluate the log-normal distribution.
mean The mean of the natural logarithm of the dataset.
standard_dev The standard deviation of the natural logarithm of the dataset.

About LOGNORMDIST 🔗

Use the LOGNORMDIST function in Excel to analyze data that follows a log-normal distribution. This is helpful for understanding the probability of different values occurring in your dataset, especially in fields like statistical analysis and financial modeling. By applying this function, you can examine the log-normal curve to see the probabilities linked to various data points, assisting you in making informed decisions based on the distribution's features.

Examples 🔗

Suppose you have a dataset with a mean of 2.5 and a standard deviation of 0.8. You want to find the probability density function at value 2.0. Use the LOGNORM.DIST formula as follows: =LOGNORM.DIST(2.0, 2.5, 0.8, FALSE) This will return the probability density at 2.0 for the given log-normal distribution parameters.

In a financial scenario where an investment follows a log-normal distribution with a mean of 6% and a standard deviation of 1.5%, you wish to calculate the likelihood of getting a return of 8%. The LOGNORM.DIST formula would be: =LOGNORM.DIST(8, 6, 1.5, FALSE) This will provide the probability of achieving an 8% return based on the log-normal distribution parameters.

Notes 🔗

Ensure that the mean and standard deviation values you provide to the LOGNORMDIST function reflect the characteristics of the dataset you are analyzing. The function assumes that the logarithm of the dataset follows a normal distribution pattern. Adjust the inputs accordingly to accurately model your data.

Questions 🔗

What does the LOGNORMDIST function output represent?

The output of the LOGNORMDIST function represents the probability density value at the specified input 'x' for the given log-normal distribution defined by the mean and standard deviation parameters.

In what scenarios is the LOGNORMDIST function commonly used?

The LOGNORMDIST function is frequently used in statistical analysis, financial modeling, risk assessment, and data analysis contexts where the data exhibits a log-normal distribution. It aids in determining the probability of certain values occurring within the dataset.

Can the LOGNORMDIST function be utilized for non-log-normal data?

The LOGNORMDIST function is specifically designed for log-normal distributions. It may not provide accurate results when applied to datasets that do not exhibit a log-normal pattern.

NORM.DIST
NORM.INV
LOGNORM.INV
NORM.S.DIST
NORM.S.INV

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