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dusya [7]
3 years ago
7

Integrate V-1 divided by 1+2V+V^2

Mathematics
1 answer:
zavuch27 [327]3 years ago
6 0

Answer:

 \int\limits {\frac{V-1}{1+2V+V^{2} } } \, dv    = log V + (\frac{2 }{1+v} )+C

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given  

                \int\limits {\frac{V-1}{1+2V+V^{2} } } \, dv

           =   \int\limits {\frac{V-2+1}{1+2V+V^{2} } } \, dv

         = \int\limits {\frac{V+1}{(1+V)^{2}  } } \, dv+\int\limits {\frac{-2}{(1+V)^{2}  } } \, dv

       = = \int\limits {\frac{1}{(1+V)  } } \, dv+\int\limits {\frac{-2}{(1+V)^{2}  } } \, dv

<u><em>Step(ii)</em></u>:-

By using integration formula

\int\limits {\frac{1}{x} } \, dx =logx +C

\int\limits {x^{n} } \, dx = \frac{x^{n+1} }{n+1} +C

      = \int\limits {\frac{1}{(1+V)  } } \, dv+\int\limits {\frac{-2}{(1+V)^{2}  } } \, dv\\= log V + (\frac{-2(1+v)^{-2+1} }{-2+1} )+C

   = log V + (\frac{-2(1+v)^{-1} }{-1} )+C

  = log V + (\frac{2 }{1+v} )+C

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A store selling newspapers orders only n = 4 of a certain newspaper because the manager does not get many calls for that publica
umka2103 [35]

Answer:

a) The expected value is 2.680642

b) The minimun number of newspapers the manager should order is 6.

Step-by-step explanation:

a) Lets call X the demanded amount of newspapers demanded, and Y the amount of newspapers sold. Note that 4 newspapers are sold when at least four newspaper are demanded, but it can be <em>more</em> than that.

X is a random variable of Poisson distribution with mean \mu = 3 , and Y is a random variable with range {0, 1, 2, 3, 4}, with the following values

  • PY(k) = PX(k) = ε^(-3)*(3^k)/k! for k in {0,1,2,3}
  • PY(4) = 1 -PX(0) - PX(1) - PX(2) - PX (3)

we obtain:

PY(0) = ε^(-3) = 0.04978..

PY(1) = ε^(-3)*3^1/1! = 3*ε^(-3) = 0.14936

PY(2) = ε^(-3)*3^2/2! = 4.5*ε^(-3) = 0.22404

PY(3) = ε^(-3)*3^3/3! = 4.5*ε^(-3) = 0.22404

PY(4) = 1- (ε^(-3)*(1+3+4.5+4.5)) = 0.352768

E(Y) = 0*PY(0)+1*PY(1)+2*PY(2)+3*PY(3)+4*PY(4) =  0.14936 + 2*0.22404 + 3*0.22404+4*0.352768 = 2.680642

The store is <em>expected</em> to sell 2.680642 newspapers

b) The minimun number can be obtained by applying the cummulative distribution function of X until it reaches a value higher than 0.95. If we order that many newspapers, the probability to have a number of requests not higher than that value is more 0.95, therefore the probability to have more than that amount will be less than 0.05

we know that FX(3) = PX(0)+PX(1)+PX(2)+PX(3) = 0.04978+0.14936+0.22404+0.22404 = 0.647231

FX(4) = FX(3) + PX(4) = 0.647231+ε^(-3)*3^4/4! = 0.815262

FX(5) = 0.815262+ε^(-3)*3^5/5! = 0.91608

FX(6) = 0.91608+ε^(-3)*3^6/6! = 0.966489

So, if we ask for 6 newspapers, the probability of receiving at least 6 calls is 0.966489, and the probability to receive more calls than available newspapers will be less than 0.05.

I hope this helped you!

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3 years ago
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