Written by Identifies the most frequently appearing values in a dataset.
Identifies the value that appears most frequently in a set of data.
Calculates the log-normal cumulative distribution at a specified value using given mean and standard deviation.
Refer to LOGINV
Refer to LOCALNORM.DIST
Calculates the value of the inverse log-normal cumulative distribution given a specific mean, standard deviation, and target value.
Determines the kurtosis of a dataset, providing insights into its shape and notably its “peakedness.”
Determines the y-value at which the linear regression line derived from a dataset crosses the y-axis (when x=0).
Determines the likelihood of obtaining a specific number of successful outcomes in a series of trials, based on a defined population size that includes a certain number of successes, without replacing the previously drawn samples.
Refer to HYPGEOMDIST function documentation.