(b) The yield (in kg) of 100 plots in the form of grouped frequency distribution is given
below: (5)
Yield
(kg)
Frequency
0-20 6
20-40 21
40-60 35
60-80 30
80-100 8
(i) Estimate the number of plots with an yield of
(A)40 to 80 kg
(B) 10 to 70 kg
(ii) Find the mean and standard deviation of yield.
(i)
(A) The number of plots with an yield of 40 to 80 kg is the sum of 35, the number of plots with an yield of 40-60, and 30, the number of plots with an yield of 60-80. This equals to 65.
(B) The number of plots with an yield of 10 to 70 kg is the sum of:
3, the half of the number of plots with an yield of 0 to 20;
21, the number of plots with an yield of 20 to 40;
35, the number of plots with an yield of 40 to 60;
15, the number of plots with an yield of 60 to 80.
This sum is 3+21+35+15=74.
(ii) The mean of the yield is "0.06\\cdot(0+20)\/2+0.21\\cdot(20+40)\/2+0.35\\cdot(40+60)\/2+0.30\\cdot(60+80)\/2+0.08\\cdot(80+100)\/2=52.6"
The mean of squared values of the yield is
"0.06\\cdot(0+20)^2\/4+0.21\\cdot(20+40)^2\/4+0.35\\cdot(40+60)^2\/4+0.30\\cdot(60+80)^2\/4+0.08\\cdot(80+100)^2\/4=3188"
The variance of the yield is "3188-52.6^2=421.24".
The standard deviation of the yield is "\\sqrt{421.24}=20.524"
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