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Every Sunday morning, two children, Craig and Jill, independently try to launch their model airplanes. On each Sunday, Craig has a probability \(\frac{{\bf{1}}}{{\bf{3}}}\) of a successful launch, and Jill has the probability \(\frac{{\bf{1}}}{{\bf{5}}}\) of a successful launch. Determine the expected number of Sundays required until at least one of the two children has a successful launch.

Short Answer

Expert verified

\(\frac{{15}}{7}\)

Step by step solution

01

Given information

The success probability of Craig is\(\frac{1}{3}\)

The success probability of Jill is\(\frac{1}{5}\)

Both launch the planes independently.

02

Calculate the required probability

The probability that at least one of the two children has a successful launch.

\(\begin{array}{l}{\rm{ = 1 - Pr}}\left( {{\rm{no}}\,\,{\rm{success}}} \right)\\{\rm{ = 1 - Pr}}\left( {{\rm{Craig}}\,\,{\rm{fails}}} \right){\rm{ \times Pr}}\left( {{\rm{Jill}}\,\,{\rm{fails}}} \right)\\ = 1 - \left( {1 - \frac{1}{3}} \right) \times \left( {1 - \frac{1}{5}} \right)\\ = 1 - \left( {\frac{2}{3} \times \frac{4}{5}} \right)\\ = 1 - \frac{8}{{15}}\\ = \frac{7}{{15}}\end{array}\)

03

Calculating the expected number of failure days

Let the probability that at least one of the two children has a successful launch follows a be a random variable denoted by X. The X follows a geometric distribution with parameter p that is \(X \sim Geo\left( {p = \frac{7}{{15}}} \right)\)

By the properties of a geometric distribution, the expectation of X is:

\(\begin{aligned}{}{\rm E}\left( X \right) &= \frac{1}{p}\\ &= \frac{1}{{\frac{7}{{15}}}}\\ &= \frac{{15}}{7}\end{aligned}\)

Therefore, the answer is\(\frac{{{\bf{15}}}}{{\bf{7}}}\).

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Most popular questions from this chapter

It is said that a random variable has the Weibull distribution with parameters a and b (a > 0 and b > 0) if X has a continuous distribution for which the p.d.f. f (x|a, b) is as follows:

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Show that if X has this Weibull distribution, then the random variable \({{\bf{X}}^{\bf{b}}}\) has the exponential distribution with parameter \({\bf{\beta = }}{{\bf{a}}^{{\bf{ - b}}}}\)

Suppose that X has the gamma distribution with parameters ฮฑ and ฮฒ, and c is a positive constant. Show that cX has the gamma distribution with parameters ฮฑ and ฮฒ/c.

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Suppose that X has the normal distribution for which the mean is 1 and the variance is 4. Find the value of each of the following probabilities:

(a). \({\rm P}\left( {X \le 3} \right)\)

(b). \({\rm P}\left( {X > 1.5} \right)\)

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(d). \({\rm P}\left( {2 < X < 5} \right)\)

(e). \({\rm P}\left( {X \ge 0} \right)\)

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Suppose that in a large lot containingTmanufactured items, 30 percent of the items are defective, and 70 percent are non-defective. Also, suppose that ten items are selected randomly without replacement from the lot.

Determine (a) an exact expression for the probability that not more than one defective item will be obtained and (b) an approximate expression for this probability based on the binomial distribution.

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