The 90% line tells you that 90% of the samples fell at or below that number. It works like median rather than like mean. The advantage of such a measure is it allows you to assert something like "90% of requests were handled in x amount of time". With an average, you can make no such assertion about what users experience - you have no handle on what users experience during busy periods.
-Mike On Mon, 2005-10-10 at 12:15 -0700, m mat wrote: > I want to understand the explaination of the 90% line in aggregate report. > > What I think it should be: Average of samples with 90% significance, i.e. if > you assume a bell shaped distribution around the mean, this number should be > an average of the middle 90% numbers (as in average after top 5% and bottom > 5% outliers are removed). So that this number could be inferred as "the > response time 90% of your users are likely to see". For example if you have > 10 samples 1,2,3,4,5,6,7,8,9,10. 90th percentile should be > (2+3+4+5+6+7+8+9)/8 = 5.5 > > it seems to me JMeter reports this number as the 90% value in the sample set. > So for the above sample set JMeter would report 9 > > Which one of the above two is correct for JMeter? > Matt > > > --------------------------------- > Yahoo! Music Unlimited - Access over 1 million songs. Try it free. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
