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Each time a shopper purchases a tube of toothpaste, he chooses either brand A or brand B. Suppose that for each purchase after the first, the probability is 1/3 that he will choose the same brand that he chose on his preceding purchase and the probability is 2/3 that he will switch brands. If he is equally likely to choose either brand A or brand B on his first purchase, what is the probability that both his first and second purchases will be brand A and both his third and fourth purchases will be brand B?

Short Answer

Expert verified

The probability that both his first and second purchases will be brand A and both his third and fourth purchases will be brand B is \(\frac{1}{{27}}\).

Step by step solution

01

Given information

Each time a shopper purchases a tube of toothpaste, he chooses either brand A or brand B.

He is equally likely to choose either brand A or brand B on his first purchase.

The probability that he will choose the same brand that he chose on his preceding purchase is \(\frac{1}{3}\) .

The probability that he will switch brands is \(\frac{2}{3}\).

02

Define events

Let\({{\bf{A}}_{\bf{i}}}{\bf{,}}{{\bf{B}}_{\bf{i}}}\)be defined as two events such that brand A is selected on i-th turn and brand B is selected on i-th turn.

From the given information,

\(\begin{aligned}{}P\left( {{A_{i + 1}}\left| {{A_i}} \right.} \right) &= P\left( {{B_{i + 1}}\left| {{B_i}} \right.} \right)\\ &= \frac{1}{3}\\P\left( {{A_{i + 1}}\left| {{B_i}} \right.} \right) &= P\left( {{B_{i + 1}}\left| {{A_i}} \right.} \right)\\ &= \frac{2}{3}\end{aligned}\)

Also,

\(\begin{aligned}{}P\left( {{A_1}} \right) &= P\left( {{B_1}} \right)\\ &= \frac{1}{2}\end{aligned}\)

The probability that both his first and second purchases will be brand A and both his third and fourth purchases will be brand B is expressed as:

\(P\left( {{A_1} \cap {A_2} \cap {B_3} \cap {B_4}} \right) = P\left( {{A_1}} \right) \times P\left( {{A_2}\left| {{A_1}} \right.} \right) \times P\left( {{B_3}\left| {{A_1} \cap {A_2}} \right.} \right) \times P\left( {{B_4}\left| {{A_1} \cap {A_2} \cap {B_3}} \right.} \right)\)

03

Compute the required probability

From the given information,

\(\begin{aligned}{}P\left( {{A_1} \cap {A_2} \cap {B_3} \cap {B_4}} \right) &= P\left( {{A_1}} \right) \times P\left( {{A_2}\left| {{A_1}} \right.} \right) \times P\left( {{B_3}\left| {{A_1} \cap {A_2}} \right.} \right) \times P\left( {{B_4}\left| {{A_1} \cap {A_2} \cap {B_3}} \right.} \right)\\ &= \frac{1}{2} \times \frac{1}{3} \times \frac{2}{3} \times \frac{1}{3}\\ &= \frac{1}{{27}}\end{aligned}\)

Thus, the required probability is \(\frac{1}{{27}}\) .

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Most popular questions from this chapter

Dreamboat cars are produced at three different factories A, B, and C. Factory A produces 20 percent of the total output of Dreamboats, B produces 50 percent, and C produces 30 percent. However, 5 percent of the cars produced at A are lemons, 2 percent of those produced at B are lemons, and 10 percent of those produced at C are lemons. If you buy a Dreamboat and it turns out to be a lemon, what is the probability that it was produced at factory A?

Suppose that a balanced die is rolled three times, and let\({X_i}\)denote the number that appears on the ith roll (i = 1, 2, 3). Evaluate\({\rm P}\left( {{X_1} > {X_2} > X3} \right)\).

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Suppose that a box contains five coins and that for each coin there is a different probability that a head will be obtained when the coin is tossed. Let \({{\bf{p}}_{\bf{i}}}\)denote the probability of a head when theith coin is tossed \({\bf{i = }}\left( {{\bf{1, \ldots ,5}}} \right)\) and suppose that \({{\bf{p}}_{\bf{1}}}{\bf{ = 0}}\),\({{\bf{p}}_{\bf{2}}}{\bf{ = }}\frac{{\bf{1}}}{{\bf{4}}}\) ,\({{\bf{p}}_{\bf{3}}}{\bf{ = }}\frac{{\bf{1}}}{{\bf{2}}}\) ,\({{\bf{p}}_{\bf{4}}}{\bf{ = }}\frac{{\bf{3}}}{{\bf{4}}}\) , and \({{\bf{p}}_{\bf{5}}}{\bf{ = 1}}\).

  1. Suppose that one coin is selected at random from the box and when it is tossed once, a head is obtained. What is the posterior probability that theith coin was selected \({\bf{i = }}\left( {{\bf{1, \ldots ,5}}} \right)\)?
  2. If the same coin were tossed again, what would be the probability of obtaining another head?
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