The cumulative normal is the value from negative infinity up to the x value of interest. This function handles the conversion from normal to standard normal within the function, so no transformation is needed. Mean is the arithmetic mean of the distribution. Cumulative is a logical value that determines the form of the function. Returns the inverse of the normal cumulative distribution for the specified mean and standard deviation.
Probability is a probability corresponding to the normal distribution.
Mean is the arithmetic mean of the distribution. Again, it must be observed that this is the cumulative normal probability that must be supplied as an argument to this function. This function handles the conversion from normal to standard normal within the function, so no transformation is needed. Returns the standard normal cumulative distribution function. The distribution has a mean of zero and a standard deviation of one.