Final answer:
An IOC occurs when the metric exceeds option D. Threshold, indicating that the data has surpassed a predefined limit. Threshold is different from mean, median, or mode, which are measures of central tendency and don't signify an incident by themselves.
Step-by-step explanation:
An IOC (Incident of Concern) occurs when a metric exceeds its normal bounds, which is option D. Threshold. The term 'threshold' refers to a predefined limit or boundary. When data exceeds this limit, it can indicate an incident that needs attention or investigation.
This is different from purely statistical terms such as mean, median, or mode which are measures of central tendency and do not inherently signal an incident when they change.
In a symmetrical distribution, the mean, median, and mode are all equal. These are measures of the center of data, but do not directly concern incidents unless compared with a predefined threshold for the specific context.
To compute the mean and standard deviation from a set of data like the one provided (10, 11, 15, 15, 17, 22), first calculate the mean by summing all the numbers and then dividing by the number of values in the dataset.
Next, apply the sample formula for the standard deviation to measure the spread of data around the mean. To find a number two standard deviations above the mean, simply add twice the standard deviation to the mean.