Microsoft Office Tutorials and References
In Depth Information
Analyzing Data with Percentiles and Bins
The PERCENTILE functions are similar to the QUARTILE functions except you
can specify which percentile to use when returning a value. You aren’t locked
into fixed percentiles such as 25, 50, or 75.
PERCENTILE.INC (or PERCENTILE.EXC) takes two arguments:
Range of the sample
Value between 0 and 1
The value tells the function which percentile to use. For example, 0.1 is the
10th percentile, 0.2 is the 20th percentile, and so on.
Use the QUARTILE.INC function to analyze data at the fixed 25th, 50th, and
75th percentiles. Use the PERCENTILE.INC function to analyze data at any
desired percentile. PERCENTILE.EXC is used when the second argument is
exclusive of 0 and 1. In other words, the second argument can be any value
between 0 and 1 but not 0 or 1.
Figure 9-15 shows a sample of test scores. Who scored at or above the 90th
percentile? The highest-scoring students deserve some recognition. Bear in
mind that scoring at the 90th percentile is not the same as getting a score of
90. Values at or above the 90th percentile are those that are in the top 10
percent of whatever scores are in the sample.
Figure 9-15:
to find high
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