ERFC.PRECISE(x)
=ERFC.PRECISE(1)
The ERFC.PRECISE function calculates the complementary error function of a given number. The error function is used in probability and statistics to calculate the area under the normal distribution curve. For example, this formula returns the complementary error function of 1.
The ERFC.PRECISE function is useful for calculating probabilities for values of a standard normal distribution. For example, if you're trying to calculate the probability that a value is greater than 1 in a standard normal distribution, you can use the ERFC.PRECISE function to calculate the complementary error function of 1, which is the probability of the value being less than or equal to 1.
The ERFC.PRECISE function can also be used to calculate the inverse of the complementary error function. This is useful when you need to calculate the value of a normal distribution given a certain probability. For example, you can use the ERFC.PRECISE function to calculate the inverse of the complementary error function for a probability of 0.95, which would be the value for which there is a 95% chance of being less than or equal to that value.
The ERFC.PRECISE function can also be used to calculate the probability of a given value in a normal distribution. For example, you can use the ERFC.PRECISE function to calculate the probability of a value being greater than or equal to 1, by calculating the complementary error function of 1 and subtracting it from 1. This would give you the probability of the value being greater than or equal to 1.
The ERFC.PRECISE function calculates the complementary Error Function (ERF) integrated between the x argument (the lower bound) and infinity. It requires one x argument in order to do this.