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A range of data is split into 4 parts.

0-25%

25-50%

50-75%

75%-100%


being above the 25% quartile means that 25% of all tested or categorized subjects are below the person in question.

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Q: What is the above 25 percent quartile?
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Will the quartile always be 25 percent 50 percent and 75 percent?

Yes. The prefix "quart" is derived from the word for 4, so quartile always means splitting the data into 4 sections, ie. 25%, 50%, 75%, 100%.


What percent of data falls above Q1?

In a standard distribution, the first quartile (Q1) represents the 25th percentile of the data. This means that 25% of the data falls below Q1, and consequently, 75% of the data falls above Q1. Therefore, 75% of the data is above Q1.


What are characteristics of lower quartile?

25% of the observed values are smaller than the lower quartile.


What is the difference between a percentile and a quartile?

A quartile divides a grouping into four. The first quartile will have the first 25% of the group, the second quartile will have the second 25% of the group, the third quartile will have the third 25% of the group and the last quartile will have the last 25% of the group. For example if a classroom had 20 students who had all taken a test, you could line them up, the top 5 marks would be in the first quartile, the next five would be in the second quartile, the next 5 would be in the third quartile, and the 5 students with the lowest marks would be in the last quartile. Similarly, a percentile divides a grouping, except the group is divided into 100. Each 1% represent 1 percentile.


When should you throw out an outliers?

If the result is 1.5 x Inter Quartile Range (or more) above the Upper Quartile or 1.5 x Inter Quartile Range (or more) below the Lower Quartile.