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if the probability that an airplane arrivea on time is 0.75 find prob that 1a) out of three flights all of them arrive on time. 1B) out of 3 flights at least one of them arrives on time?

User Czar
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1 Answer

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To answer this questions we can use the binomial distribution.

The binomial distribution is given by:


P(X=k)=(n!)/(k!(n-k)!)p^k(1-p)^(n-k)

where n is the number of experiments, k is the number of times of success of the experiment and p is the probability of succes.

Remember that the factorial of an integer number is defined as:


n!=n(n-1)(n-2)\cdot\cdot\cdot\cdot\cdot3\cdot2\cdot1

For example:


\begin{gathered} 3!=3\cdot2\cdot1=6 \\ 2!=2\cdot1=2 \\ 1!=1 \\ 0!=1 \end{gathered}

1a.

In this case we are gonna do the experiment 3 times (that is we are going to analyze three flights). We want to know the probability of all the flights to be on time, this means that we want that k=3. Furthermore we know that the probability of the flight arriving on time is 0.75, then p=0.75. Plugging this values into the formula we have:


\begin{gathered} P(X=3)=(3!)/(3!(3-3)!)0.75^3(1-0.75)^(3-3) \\ =0.421875 \end{gathered}

Therefore the probability of three out of three flights arriving on time is 0.421875

1b.

In this case we want the following probability:


P(X\ge1)

that is, we want to find the probability of at least one flight arriving on time.

To find this probability we can do it in two ways:


P(X\ge1)=P(X=1)+P(X=2)+P(X=3)

or, we can do it if we remember that the sum of all possible porbabilities is equal to one, then:


P(X\ge1)=1-P(X=0)

The second form is a little easier to calculate so we are going to use that one. In that case we have that:


\begin{gathered} P(X\ge1)=1-(3!)/(0!(3-0)!)(0.75)^0(1-0.75)^(3-0) \\ =1-\text{0}.015625 \\ =0.984375 \end{gathered}

Therefore the probability of at least one out of three flights arriving on time is 0.984375

User Txtechhelp
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