The 90th percentile response time value is the value for which 90% of the data points are smaller and 10% are bigger.
To calculate the 90th percentile value:
1. Sort the transaction instances by their value.
2. Remove the top 10% instances.
3. The highest value left is the 90th percentile.
Consider the below example:
There are 10 instances of transaction “TRANSACTION 01” with the values
| 4 sec | 2 sec | 3 sec | 1 sec | 5 sec | 17 sec | 8 sec | 7 sec | 6 sec | 10 sec |
1. Sort values from best to worst:
| 1 sec | 2 sec | 3 sec | 4 sec | 5 sec | 6 sec | 7 sec | 8 sec | 10 sec | 17 sec |
2. Remove top 10%, in our case i.e. value “17 sec”
| 1 sec | 2 sec | 3 sec | 4 sec | 5 sec | 6 sec | 7 sec | 8 sec | 10 sec |
3. The highest value left is the 90th percentile value i.e. “10 sec” is the 90th percentile value.
Hi Sudhakar, I have a different view. 90%ile is the average of least 90 values i.e after removing top 10% in your example, the remaining 90% values average is 90%ile. 100%ile we say average of 100 values , similarly 90% is average of 90 values leaving top 10% response times. What do you say ?
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