Question
From the data given below, calculate Karl Pearson's coefficient of correlation between density of population and death rate by step deviation method.
Region
Area (in sq km)
Population
Death
A
200
40000
480
B
150
75000
1200
C
120
72000
1080
D
80
20000
280

Answer

First of all, we shall compute density of population i.e., population per sq km and death rate per 1000.$\text{Density of Population}=\frac{\text{Population}}{\text{Area}},$
$\text{Death Rate}=\frac{\text{Number of Deaths}}{\text{Population}}\times100 $
Region Density(X) dx (X - A), A = 500 $\text{dx}'\bigg(\frac{\text{dx}}{\text{c}_1}\bigg),\text{c}_1=50$ $\text{dx}^2$ Death Rate (Y) dy (Y - A), A = 16 $\text{dy}'\bigg(\frac{\text{dx}}{\text{c}_2}\bigg),\text{c}_2=1$ $\text{dy}^2$ dx'dy'
A 200 -300 -6 36 12 -4 -4 16 24
B 500 0 0 0 16 0 0 0 0
C 600 100 2 4 15 -1 -1 1 -2
D 250 -250 -5 25 14 -2 -2 4 10
      $\Sigma\text{dx}'=-9$ $\Sigma\text{dy}^2=65$     $\Sigma\text{dy}'=-7$ $\Sigma\text{dy}^2=21$ $\Sigma\text{dx}'\text{dy}'=32$
Here, $\text{dx}'=-9,\Sigma\text{dx}'^2=65,\Sigma\text{dy}'=-7,\Sigma\text{dy}'^2=21\ \text{and}\Sigma\text{dx}'\text{dy}'=32$$\therefore\ \text{r}=\frac{\Sigma\text{dx}'\text{dy}'-\frac{\Sigma\text{dx}'\times\Sigma\text{dy}'}{\text{n}}}{\sqrt{\Sigma\text{dx}'^2-\frac{(\Sigma\text{dx}')^2}{\text{n}}\times}\sqrt{\Sigma\text{dx}'^2-\frac{(\Sigma\text{dy}')^2}{\text{n}}}} $
$\frac{32-\frac{(-9\times-7)}{4}}{\sqrt{65-\frac{(-9)^2}{4}\times\sqrt{21-\frac{(-7)^2}{4}}}}=\frac{32-15.75}{\sqrt{65-20.25\times\sqrt{21-12.25}}{}} $
$=\frac{16.25}{\sqrt{44.75}\times\sqrt{8.75}}=\frac{16.25}{6.96\times2.96}=\frac{16.25}{19.80}=0.82 $
There is high degree of positive correlation between density of population and death rate.

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