Life (No of Years): | 0-2 | 2-4 | 4-6 | 6-8 | 8-10 | 10-12 |
---|---|---|---|---|---|---|
Model x: | 5 | 16 | 13 | 7 | 5 | 4 |
Model Y: | 2 | 7 | 12 | 19 | 9 | 1 |
(ii) Which model has a greater uniformity?
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Ans: let's demonstrate these information into the tabular form.
No. of Year | Mid Value | Model A | Model B | ||||
---|---|---|---|---|---|---|---|
(x) | f | fx | fx² | f | fx | fx² | |
0-2 | 1 | 5 | 5 | 5 | 2 | 2 | 2 |
2-4 | 3 | 16 | 48 | 144 | 7 | 21 | 63 |
4-6 | 5 | 13 | 65 | 325 | 12 | 60 | 300 |
6-8 | 7 | 7 | 49 | 343 | 19 | 133 | 931 |
8-10 | 9 | 5 | 45 | 405 | 9 | 81 | 729 |
10-12 | 11 | 4 | 44 | 484 | 1 | 11 | 121 |
Σf=50 | Σfx=256 | Σfx²=1706 | Σf=50 | Σfx=308 | Σfx²=2146 |
For Model A:
Mean(μ)
Mean(μ) = Σfx/n Mean(μ) = 256/50 Mean(μ) = 5.12Standard Deviation(σ)
SD(σ) = √Σfx²/n-(Σfx/n)² SD(σ) = √1706/50-(256/50)² SD(σ) = √34.12-(5.12)² SD(σ) = √34.12-26.2144 SD(σ) = √7.9056 SD(σ) = 2.81
For Model B:
Mean(μ)
Mean(μ) = Σfx/n Mean(μ) = 308/50 Mean(μ) = 6.16Standard Deviation(σ)
SD(σ) = √Σfx²/n-(Σfx/n)² SD(σ) = √2146/50-(308/50)² SD(σ) = √42.92-(6.16)² SD(σ) = √42.92-37.9456 SD(σ) = √4.9744 SD(σ) = 2.23Average life of Model A is = 5.12 Years
Average life of Model B is = 6.16 Years
(i) Therefore Model B is the average life.
Now, Coefficient of Variation (CV):
CV of Model A = Standard Deviation(σ)/Mean(μ)*100% = 2.81/5.12*100% = 54.88% CV of Model B = Standard Deviation(σ)/Mean(μ)*100% = 2.23/6.16*100% = 36.20%(ii) Since CV of A is > than CV of B, So Model B has more uniformity.