If the mean and the variance of the data
(Class 4-8 8-12 12-16 16-20 Frequency 3 \lambda 4 7
) are μ \mu μ and 19 respectively, then the value of λ + μ \lambda+\mu λ + μ is
Step-by-step solution
Class midpoints:
6 , 10 , 14 , 18 6, 10, 14, 18 6 , 10 , 14 , 18 .
Frequencies:
3 , λ , 4 , 7 3, \lambda, 4, 7 3 , λ , 4 , 7 .
N = 14 + λ N = 14 + \lambda N = 14 + λ .
Mean
μ = 200 + 10 λ 14 + λ \mu = \frac{200 + 10\lambda}{14 + \lambda} μ = 14 + λ 200 + 10 λ .
∑ f i x i 2 = 3 ( 36 ) + 100 λ + 4 ( 196 ) + 7 ( 324 ) = 3160 + 100 λ \sum f_i x_i^2 = 3(36) + 100\lambda + 4(196) + 7(324) = 3160 + 100\lambda ∑ f i x i 2 = 3 ( 36 ) + 100 λ + 4 ( 196 ) + 7 ( 324 ) = 3160 + 100 λ .
Variance:
19 = 3160 + 100 λ N − μ 2 19 = \frac{3160+100\lambda}{N} - \mu^2 19 = N 3160 + 100 λ − μ 2 .
Let
u = 14 + λ u = 14+\lambda u = 14 + λ :
19 u 2 = u ( 1760 + 100 u ) − ( 60 + 10 u ) 2 ⇒ 19 u 2 − 560 u + 3600 = 0 19u^2 = u(1760+100u) - (60+10u)^2 \Rightarrow 19u^2 - 560u + 3600 = 0 19 u 2 = u ( 1760 + 100 u ) − ( 60 + 10 u ) 2 ⇒ 19 u 2 − 560 u + 3600 = 0 .
u = 560 ± 200 38 u = \frac{560 \pm 200}{38} u = 38 560 ± 200 , so
u = 20 ⇒ λ = 6 u = 20 \Rightarrow \lambda = 6 u = 20 ⇒ λ = 6 .
μ = 260 20 = 13 \mu = \frac{260}{20} = 13 μ = 20 260 = 13 . Hence
λ + μ = 6 + 13 = 19 \lambda + \mu = 6 + 13 = 19 λ + μ = 6 + 13 = 19 .
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