90 percentile is average of 90% of the response times, here arrange the 100 response times from good to bad then eliminate the worst 10% of the response times. Then calculate the average for 90% of the response times.
Example: The response times for an application for 10 users is
2,4,3,8,9,16,6,8,3,10 then arrange them from Good to bad
2,3,3,4,6,8,8,9,10,16
Then take the average for 90% of the response times 2,3,3,4,6,8,8,9,10 (eliminate the 16) is 5.88.
Overall (100%) response time is 10.94
Why 90 percentile required:
End users need to satisfy with the application response time / speed. Then users should increase other wise users won't use that application. For satisfaction calculation purpose Performance testers uses the 90 percentile. Means 90% of the users satisfying with that response time, remaining 10% users not satisfying with that response times.
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