Range = (Maximum - Minimum) = (29500 - 2200) = 27300
| All Commodores |
Omitting $29,500 |
||
|---|---|---|---|
| Median | 9,500 | 9,500 | not changed |
| Max | 29,500 | 20,000 | changed |
| Min | 2,200 | 2,200 | |
| Range | 27,300 | 17,800 | changed greatly |
| Mean | 10,080 | 9,555 | changed |
The range depends only on the extreme values in the data set.
Mistakes in data, such as reversing digits (e.g. 52 for 25) or omitting
digits (e.g. 12 for 132) may produce extreme values. A measure of the spread
of data which is not so much affected by extreme values as the range is
to take values 5% in from either end, or 1/4 in from either end.
When the data are arranged in order of magnitude (i.e. they are ranked) the quartiles are 3 numbers which divide the data into four groups each having approximately the same number of values.
observations, and Q3 is
the median of the largest
obesrvations.
EXAMPLE. Consider first 9 Commodore prices ( in $,000)
Arrange these in order of magnitude
The median is Q2 = 6.7 (there are 4 values on either side)
Q1 = 5.9 (median of the 4 smallest values)
Q3 = 10.2 (median of the 4 largest values)
IQR = 10.2 - 5.9 = 4.3.
[Some textbooks and computer programs use slightly different definitions for Q1 and Q3 from the ones given here. The calculated values, however, are usually very similar. Use HELP DESCRIBE to see the MINITAB definition.]
Just as the median is not affected much by extreme values, neither is the IQR. For example, for the Commodore prices MINITAB gives
The percentiles most commonly used, after the 50th, are those close to 100. Thus the 90th percentile is the value that is exceeded by only 10% of the sample or the population, and the 99th percentile is exceeded by only 1 in 100.
You will occasionally also see "deciles", which are found by dividing the data into tenths, and "quintiles", which divide the data into fifths. The first quintile is identical to the 20th percentile, the median is the fifth decile, and so on.
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