FIR and IIR are digital filters that are commonly used in digital signal processing. There are only a few components that make up these filters, but these components can be arranged in various ways to make complicated filters for use in digital signal processing.
In some statistical analyses, the median is a better predictor of the expected value for a set of observations than the mean (average). To calculate the median, in the simplest terms, if you have an odd number (n) of items in an ordered set, the median is the value where (n+1)/2 is the row containing the median value. If there is an even number of rows, the value is the average (mean) of the two values appearing in the n/2 and the 1+n/2 rows.
Arrange the data in increasing order. Find the location of median in the ordered data by (n + 1) / 2. The value that represents the location found in Step 2 is the median. NOTE: if the sample size is an odd number then the location point will produce a median that is an observed value as in the example above.