5. The diameter, say X of an electric cable, is assumed to be a continuous random variable with p.d.f : f(x)=6x(1-x), , 0≤x≤1 1) Check that the above is p.d.f., 2) Obtain an expression for the p.d.f 3) Compute P(X≤1/2 | 1/3≤X≤2/3), and 4) Determine the number k such that P(Xk) 6. Let X be a random VRead more
5. The diameter, say X of an electric cable, is assumed to be a continuous random
variable with p.d.f : f(x)=6x(1-x), , 0≤x≤1
1) Check that the above is p.d.f.,
2) Obtain an expression for the p.d.f
3) Compute P(X≤1/2 | 1/3≤X≤2/3), and
4) Determine the number k such that P(Xk)
6. Let X be a random Variable with following probability distribution
The diameter , Say X , of a electric cable , is assumed to be continuous random variable with p.d.f …
5. The diameter, say X of an electric cable, is assumed to be a continuous random variable with p.d.f : f(x)=6x(1-x), , 0≤x≤1 1) Check that the above is p.d.f., 2) Obtain an expression for the p.d.f 3) Compute P(X≤1/2 | 1/3≤X≤2/3), and 4) Determine the number k such that P(Xk) 6. Let X be a random VRead more
5. The diameter, say X of an electric cable, is assumed to be a continuous random
See lessvariable with p.d.f : f(x)=6x(1-x), , 0≤x≤1
1) Check that the above is p.d.f.,
2) Obtain an expression for the p.d.f
3) Compute P(X≤1/2 | 1/3≤X≤2/3), and
4) Determine the number k such that P(Xk)
6. Let X be a random Variable with following probability distribution