Before explaining the 90th percentile let’s see what is
percentile. A percentile is a measure used in statistics
indicating the value below which a given percentage
of observations in a group of observations fall.

**For example**the 30th percentile is the value below which 30 percent of the observations may be found.

In similar way the

**90th percentile**is the value**below which 90 percent**of the observations may be found.**How to calculated 90**

^{th}percentile?**Click here to know more**

As we know it is the value from which 90% of the samples are
smaller so let’s find the 90

^{th}percentile in simple easy steps.**Step 1:**Sort the values in increasing order.

**Step 2:**Eliminate the top 10% values.

**Step 3:**The highest value you are left with is the 90

^{th}percentile.

**Example:**

Suppose we have following sample of data: 1, 5, 3, 9, 4, 7,
7, 9, 11, and 21.

Sorting the data in ascending order gives: 1, 3, 4, 5, 7, 7,
9, 11 and 21.

After removing top 10% values (10% of 10 = 1) we have 1, 3,
4, 5, 7, 7, 9 and 11.

The 90

^{th}percentile is 11.**What is the significance of 90**

^{th}percentile?

It answers the following questions:

1. What percentage of transactions have a response time less than or equal to X seconds?
2. What is the time under which 90 percent of the transactions are responding?

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