In KDB Q, a custom moving average function can be created that excludes the top and bottom 5 results before calculating the average. This method involves sorting a list of 10 elements, then selecting only the middle 6 (index 2 to 7) for averaging. The function uses the built-in `avg` function but modifies the data selection process. For example, when applied to a dataset of 20 scores ranging from 169 to 989, the moving average calculation results in values like 60, 151.6667, and 233.1667, showcasing how this technique can significantly alter the average by excluding extreme values. This approach can be adjusted to include different ranges of data, offering flexibility in statistical analysis.
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