[Reserved] JMeter learning (seven) polymerization 90% Line report correct understanding

90% Line parameters are correct meanings: 

 

Although I understand there is some truth in the above, it is clear that it is wrong. That is the official website to see JMeter how to say?

90% Line - 90% of the samples took no more than this time. The remaining samples at least as long as this.

"90% of the samples did not exceed this time, at least as long as the remaining sample." (Get google translation)

Did not quite understand what that means, then, click on the detailed explanation.

90% Line (90 th Percentile) is the value below which 90% of the samples fall. The remaining samples too at least as long as the value. This is a standard statistical measure. See, for example: Percentile entry at Wikipedia. 

English bad, or did not understand the meaning of what in the end, but in the end I suggested, use Wikipedia to check what is percentiles.

 

Percentile:

  Statistical terms, if a set of data sorted in descending order, and calculate the cumulative percentile, the percentile of a percentile value of the data is called the corresponding percentile. Can be expressed as: a set of n numerical values arranged by observations such as, at the location of said value p% p-th percentile.

  The median is the 50th percentile.

  25th percentile known as first quartile (First Quartile), represented by Ql; 50th percentile, also known as the second quartile (Second Quartile), represented by Q2; 75 percentile, also known as the third quartile (third quartile), expressed in Q3. If the p-th percentile was calculated decimals, integers can be complete.

  Quantile measure is used to measure the position of the data, but it measurable, not necessarily the center position. Percentile provides information about how each data item distribution between the minimum and maximum values. For a large number of non-repeated data, the p-th percentile it into two parts. Approximately value p% of the data item is smaller than the p-th percentile; and has a value of about (100-p)% of the data item is larger than the p-th percentile. The first p percentile, strictly defined below.

  P-th percentile is a value which has at least p% such items less than or equal to this value, and at least (100-p)% of the data item is greater than or equal to this value.

  Institutions of higher education entrance examination scores are often reported as percentile. For example, suppose that a fraction of the original language candidates portion of the entrance 54 minutes. Relative to other students in the same exam, his score is not easy to know how. But if the raw score 54 points exactly corresponds to the 70th percentile, we will be able to know that about 70 percent of students test scores lower than his, and about 30 percent of students test scores higher than his. 

 

In fact, this is the last example of an examinee's score, I suddenly understand.

 

if:

Number 10:

1,2,3,4,5,6,7,8,9,10 according to descending order.

Seeking its 90th percentile, which is exactly the number 9 is 9, so that his 90% Line 9.

Another group number:

2,2.1,2.5,3,3.4,3.4,4,4,4,4,5,5,5,5.9,5.91,6.8,8,12,24,24.1 according to descending order.

Seeking its 90th percentile, 18th number is 12 what his 90% Line is 12. 

 

Again explained 90% Line 

A set of numbers arranged in ascending, 90% find his first number (if it is 12), then the array will be 90% of the number of 12 or less.

Performance test with response time will be very interesting, which is 90% of the user response time does not exceed 12 seconds.

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Origin www.cnblogs.com/xxxs/p/11758074.html