![]() The point of this value is to remove 10% of the “noise” values that occasionally happen in performance counters due to dramatic spikes in a counter instance. When 10% of the outliers are removed-meaning the 999999 value is removed from the array of numbers-and a new average is calculated, then the new average is 5. If you have the values of 5,5,5,5,5,5,5,5,5,999999, then the average is 100004, which doesn't represent most of the values. ![]() ġ0% of Outliers Removed: This is an average value calculated with 10% of the data points that are furthest from the average removed. ![]() The higher the standard deviation, the more unreliable the average. Effectively, the lower that standard deviation, the more reliable the average. If you have the values of 0,10,0,10,0,10,0,10,0,10, then the average is still 5, but the standard deviation is 5-meaning each of these values is 5 away from the average of the values. If you have the values of 5,5,5,5,5,5,5,5,5,5, then the average is 5 and the standard deviation is 0. My interpretation of standard deviation is the average distance of the data points to the average value. Std Deviation: This is the standard deviation of all of the values of the counter instance throughout the counter log. A value of 10 would indicate an average increase of 10 every hour likewise a value of − 10 would indicate an hourly decrease of 10. Specifically, each of the average values of each time slice (based on the analysis interval) is compared, and the difference is the adjusted for an hourly time. Hourly Trend: This is the hourly increase of the counter instance observed from the beginning to the end of the counter log. Max: This is the maximum (highest) value of the counter instance observed throughout the counter log. Īvg: This is the average of all of the values of the counter instance observed throughout the counter log.Min: This is the minimum (lowest) value of the counter instance observed throughout the counter log. Explanation of values of overall counter instance statistics:
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