Question #204958

1) An athlete is running in 5 races and in each race he has a 70% chance of winning. what is the probability that he will win at least two races?


2) the average number of cars arriving at a particular red light each day is 4. Assuming a poison distribution, calculate the probability that on a given day, less than three cars will arrive at the red light.


1
Expert's answer
2021-06-13T17:35:35-0400

1) Let X=X= the number of winned races: XBin(n,p)X\sim Bin(n, p)

Given n=5,p=0.7n=5, p=0.7

P(X2)=1P(X=0)P(X=1)P(X\geq2)=1-P(X=0)-P(X=1)

=1(50)(0.7)0(10.7)50(51)(0.7)1(10.7)51=1-\dbinom{5}{0}(0.7)^0(1-0.7)^{5-0}-\dbinom{5}{1}(0.7)^1(1-0.7)^{5-1}

=1(0.3)55(0.7)(0.3)4=1-(0.3)^5-5(0.7)(0.3)^4

=13.8(0.3)4=0.96922=1-3.8(0.3)^4=0.96922

The probability that he will win at least two races is 0.96922.


2) Let X=X= the number of cars arriving at a particular red light : XPo(λ).X\sim Po(\lambda).


P(X=x)=eλλxx!P(X=x)=\dfrac{e^{-\lambda}\cdot\lambda^x}{x!}

Given λ=4.\lambda=4.


P(X<3)=P(X=0)+P(X=1)+P(X=2)P(X<3)=P(X=0)+P(X=1)+P(X=2)

=e4400!+e4411!+e4422!=\dfrac{e^{-4}\cdot4^0}{0!}+\dfrac{e^{-4}\cdot4^1}{1!}+\dfrac{e^{-4}\cdot4^2}{2!}


=e4(1+4+8)0.238103=e^{-4}(1+4+8)\approx0.238103


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