Finding outliers in a data set Detecting unusual numbers or outliers in a data set is important in many disciplines, because the outliers identify interesting phenomena, extreme events, or invalid experimental results. A simple method to check if a data value is an outlier is to see if the value is a significant number of standard deviations away from the mean of the data set. For example, is an outlier if where Hx is the data set mean, x is the data set standard deviation, and N is the number of standard deviations deemed significant. Assign outlierData with all values in userData that are numberStdDevs standard deviations from userData's mean. Hint: use logical indexing to return the outlier data values. Ex: If userData is [9, 50, 51, 49, 100 and numberStdDevs is 1, then outlierData is [9, 1001