WOLFRAM|DEMONSTRATIONS PROJECT

Estimating the Size of a Population

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seed
1
sampling percentage
20
show
examples
percent estimation error
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black lines: sample values
blue line: estimated size of population
red line: true size of population
Suppose that in a marathon each runner has a running number on their back but we do not know
N
, the total number of runners. At some point along the course we observe
n
random runners and write down their running numbers
X
i
,
i=1,2,…,n
. What would be our estimate of
N
? Let
m
be largest of the observed numbers
X
i
. It can be shown that a good estimate of
N
is
m+
m
n
-1
. The Demonstration shows examples of this estimate when
N
is 100. It also shows the frequency distribution of the percent estimation error, when the
N
is a random integer between 100 and 1000.