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A new battery’s voltage may be acceptable (A) or unacceptable (U). A certain flashlight requires two batteries, so batteries will be independently selected and tested until two acceptable ones have been found. Suppose that 90% of all batteries have acceptable voltages. Let Y denote the number of batteries that must be tested.

a. What is\(p\left( 2 \right)\), that is, \(P\left( {Y = 2} \right)\),?

b. What is\(p\left( 2 \right)\)? (Hint: There are two different outcomes that result in\(Y = 3\).)

c. To have \(Y = 5\), what must be true of the fifth battery selected? List the four outcomes for which Y = 5 and then determine\(p\left( 5 \right)\).

d. Use the pattern in your answers for parts (a)–(c) to obtain a general formula \(p\left( y \right)\).

Short Answer

Expert verified

a.\(P\left( {Y = 2} \right) = 0.81\)

b.\(P\left( {Y = 3} \right) = 0.1620\)

c.\(P\left( {Y = 5} \right) = 0.0032\)

d. \(P\left( Y \right) = \left( {Y - 1} \right)P{\left( A \right)^2}P{\left( U \right)^{Y - 2}}\)

Step by step solution

01

Given information

A certain flashlight requires two batteries, so batteries will be independently selected and tested until two acceptable batteries have been found. Out of all batteries tested, 90% of them have acceptable voltage. The random variable\(Y\)denote the number of batteries that must be tested.

02

Compute the probability that two batteries must be tested is:

a.

The probability that a battery has acceptable voltage is \(P\left( A \right) = 0.9\).

So, the probability of a battery has not acceptable voltage is,

\(\begin{aligned}P\left( U \right) &= 1 - P\left( A \right)\\ &= 1 - 0.9\\ &= 0.1\end{aligned}\)

The experiment is performed until two acceptable batteries have to be found. Since the random variable denote the number of batteries that must be tested, so \(Y = 2\) means both selected batteries have accepted voltage i.e.\(\left\{ {AA} \right\}\).

As both batteries are chosen independently, the required probability is computed as:

\(\begin{aligned}P\left( {Y = 2} \right) &= P\left( {AA} \right)\\ &= P\left( A \right) \times P\left( A \right)\\ &= 0.9 \times 0.9\\ &= 0.81\end{aligned}\)

Thus, the required probability is 0.81.

03

Compute the probability that three batteries must be tested is

b.

In this case, when\(Y = 3\) it means the number of trials is 3 andthe last battery must have accepted voltage. The possible pairs are\(\left\{ {\left( {UAA} \right),\left( {AUA} \right)} \right\}\).

As we do not consider the pair\(\left( {AAU} \right)\)because the last trail must be of acceptable voltage.

So, the probability is computed as,

\(\begin{aligned}P\left( {Y = 3} \right) &= P\left( {UAA} \right) + P\left( {AUA} \right)\\ &= \left( {\left( {0.1} \right){{\left( {0.9} \right)}^2} + \left( {0.1} \right){{\left( {0.9} \right)}^2}} \right)\\ &= 0.081 + 0.081\\ &= 0.1620\end{aligned}\)

Thus, the required probability is 0.1620.

04

Compute the probability that five batteries must be tested is

c.

In this case, when\(Y = 5\) it means the number of trials is 5 and the last battery must have accepted voltage.

There are only four possible pairs as below:

\(\left\{ {\left( {UUUAA} \right),\left( {UUAUA} \right),\left( {UAUUA} \right),\left( {AUUUA} \right)} \right\}\)

So, the required probability i.e.\(P\left( {Y = 5} \right)\) is computed as,

\(\begin{aligned}P\left( {Y = 5} \right) &= P\left( {UUUAA} \right) + P\left( {UUAUA} \right) + P\left( {UAUUA} \right) + P\left( {AUUUA} \right)\\ &= \left( {{{\left( {0.1} \right)}^3}{{\left( {0.9} \right)}^2} + {{\left( {0.1} \right)}^3}{{\left( {0.9} \right)}^2} + {{\left( {0.1} \right)}^3}{{\left( {0.9} \right)}^2} + {{\left( {0.1} \right)}^3}{{\left( {0.9} \right)}^2}} \right)\\ &= \left( {0.0008 + 0.0008 + 0.0008 + 0.0008} \right)\\ &= 0.0032\end{aligned}\)

Thus, the required probability is 0.0032.

05

Determine the pattern of (a) and (c) to obtain general formula of\(P\left( Y \right)\)

d.

For part(a) of the problem, the minimum accepted batteries are two or two trials are conducted.

Since the experiment is being conducted until two acceptable ones have been found. So, the number of success is 2 and number of failures is 1.

It can be rewritten as:

\(P\left( {AA} \right) = \left( {2 - 1} \right){\left( {P\left( A \right)} \right)^2}{\left( {P\left( U \right)} \right)^{2 - 2}}\)

For part (b) of the problem, an experiment of three trials is being conducted until two acceptable voltages have been found or\(Y = 3\).

The number of success is 2 and number of failures is 1.

It can be rewritten as:

\(P\left( {UAA} \right) + P\left( {AUA} \right) = \left( {3 - 1} \right){\left( {P\left( A \right)} \right)^2}{\left( {P\left( U \right)} \right)^{3 - 2}}\)

For part (c) of the problem, an experiment of five trials is being conducted until two acceptable voltages have been found or\(Y = 5\).

The number of success is 2 and number of failures is 3.

It can be rewritten as:

\(P\left( {UUUAA} \right) + P\left( {UUAUA} \right) + P\left( {UAUUA} \right) + P\left( {AUUUA} \right) = \left( {5 - 1} \right){\left( {P\left( A \right)} \right)^2}{\left( {P\left( U \right)} \right)^{5 - 2}}\)

Therefore, the general formulaof\(P\left( Y \right)\)can be written as:

\(P\left( Y \right) = \left( {Y - 1} \right)P{\left( A \right)^2}P{\left( U \right)^{Y - 2}}\)

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Most popular questions from this chapter

Airlines sometimes overbook flights. Suppose that for a plane with 50 seats, 55 passengers have tickets. Define the random variable Y as the number of ticketed passengers who actually show up for the flight. The probability mass function of Y appears in the accompanying table.

y

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47

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49

50

51

52

53

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