Statistics: Median, Mode and Frequency Distribution

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Statistics:
Median, Mode and Frequency Distribution
Given a list of numbers,
-
The median is the “middle value” of a list. It is the smallest number such
that at least half the numbers in the list are no greater than it. If the list has
an odd number of entries, the median is the middle entry in the list after
sorting the list into increasing order. If the list has an even number of
entries, the median is equal to the sum of the two middle (after sorting)
numbers divided by two.
-
The mode is the most common (frequent) value. A list can have more than
one mode.
Let’s have a look at an example:
In an experiment measuring the percentage shrinkage on drying, 30 plastic
clay test specimens produced the following results (rounded to one decimal):
19.3 15.8 20.7 18.4 14.9 17.3 21.3 16.1 18.6 20.5
20.5 16.9 18.5 18.7 12.3 19.5 23.4 18.8 18.3 16.9
17.9 17.1 22.5 18.8 19.4 17.4 18.5 17.5 16.5 17.5
In order to determine the median and the mode, let’s sort the numbers in the
list, starting with the smallest and ending with the biggest:
12.3 14.9 15.8 16.1 16.5 16.9 16.9 17.1 17.3 17.4 17.5 17.5 17.9
18.3 18.4 18.5 18.5 18.6 18.7 18.8 18.8 19.3 19.4 19.5 20.5 20.5 20.7
21.3 22.5 23.4
16.9, 17.5, 18.5, 18.8 and 20.5 appear twice in the list, while the other
numbers appear only once. The modes are therefore 16.9, 17.5, 18.5, 18.8
and 20.5.
Since the numbers of number in the list is even (30 numbers), the median is
the sum of the 15th and 16th numbers divided by two. The median is therefore
18.4  18.5
 18.45
2
-
Given a list, by frequency distribution with a class interval of x % we
mean a table where the numbers are sorted by class intervals of x % .
-
The frequency f of a class interval is the number of numbers in the list
that belong to the class interval.
-
The Midpoint x1 of a group: for example the midpoint of the class interval
14.0  14.9 is
x1 
14.0  14.9
 14.45
2
It may sound complicated but it is in fact rather straightforward. Let’s have a
look at the frequency distribution of our example, with a class interval of 1% ,
starting with 12.0 – 12.9:
Class interval of 1%
Frequency f
1
0
1
1
4
6
8
3
3
1
1
1
12.0 – 12.9
13.0 – 13.9
14.0 – 14.9
15.0 – 15.9
16.0 – 16.9
17.0 – 17.9
18.0 – 18.9
19.0 – 19.9
20.0 – 20.9
21.0 – 21.9
22.0 – 22.9
23.0 – 23.9
Midpoint of the group x
12.45
13.45
14.45
15.45
16.45
17.45
18.45
19.45
20.45
21.45
22.45
23.45
You can also get the mean and the standard deviation from a frequency
distribution:
-
Arithmetic mean from a frequency distribution:
 f x 
 f 
1
x
-
Standard deviation from a frequency distribution:
 f x  x 
 f 
1

2
Using the formulae above, the mean and the standard deviation in our
example are
  f x   112.45  0 13.45  114.45  115.45  4 16.45  6 17.45 
30
 f 
1
x

8 18.45  3 19.45  3  20.45  1 21.45  1 22.45  1 23.45
30
1
so that x  18.25 and for the standard deviation, we have
 f x  x 
 f 
1

2

1 (12.45  18.25) 2  0  (13.45  18.25) 2  ...  1 (23.45  18.25) 2
30
so that   4.893  2.212 .
It is essential to know how to interpret your answers. Imagine that you have a
job involving stats and that your boss ask you to make a survey of the time
spend by the employees in front of the coffee machine. If one month later, you
end in a report saying “well, the mean is 10 and the standard deviation is 1”…
he might not be very impressed.
Now, back to the example and let’s try to interpret the results:
In a sample of 30 plastic clay test specimens, we found that the mean is
18.25 and the standard deviation is 2.212.
A plastic clay test specimen therefore shrinks on average by 18.25% and
since the standard deviation is rather small, we expect the percentage
shrinkage of any given specimen to be, on average, close to 18.25%.
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