Final answer:
The 99th percentile of a normal distribution is a measure of how extreme a data point is compared to the rest of the distribution. It can be found using the inverse normal distribution function.
Step-by-step explanation:
The 99th percentile of a normal distribution refers to the value below which 99% of the data falls. It is a measure of how extreme a particular data point is compared to the rest of the distribution.
To find the 99th percentile, you can use the inverse normal distribution function, also known as the quantile function or the percent-point function. This function takes the probability, mean, and standard deviation of the normal distribution as inputs and returns the corresponding data value.
For example, if the mean of a normal distribution is 100 and the standard deviation is 10, the 99th percentile would be the data value below which 99% of the data falls. Using the inverse normal distribution function, you can find that value.