Written by Identifies the highest numeric value within a given dataset.
Identifies the highest value within a set of numeric values.
Determines the extent of random sampling discrepancy based on a set of values and a specified confidence level.
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.
Returns the n-th largest value from a dataset, with n defined by the user.
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).