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Twenty-five percent of the customers entering a grocery store between 5 P.M. and 7 P.M. use an express checkout. Consider five randomly selected customers, and let \(x\) denote the number among the five who use the express checkout. a. What is \(p(2)\), that is, \(P(x=2)\) ? b. What is \(P(x \leq 1)\) ? c. What is \(P(2 \leq x)\) ? (Hint: Make use of your computation in Part (b).) d. What is \(P(x \neq 2) ?\)

Short Answer

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The answer involves four parts as it's a multi-part problem: Part a, compute the binomial probability with \(x=2\); Part b, sum the probabilities for \(x=0\) and \(x=1\); Part c, subtract the result from Part b from 1; And for Part d, subtract computation from part a from 1.

Step by step solution

01

Calculation for Part a

To calculate \(P(x=2)\), we'll use the binomial distribution probability formula, with \(n=5\), \(x=2\), and \(p=0.25\). The formula becomes \(P(2; 5, 0.25) = C(5, 2) * 0.25^2 * (1 - 0.25)^{5 - 2}\). Doing the calculation gives the answer for Part a.
02

Calculation for Part b

Part b asks for \(P(x \leq 1)\), which means the probability that either 0 or 1 customer uses the express checkout. In this case, we can calculate the sum of the binomial probabilities for \(x=0\) and \(x=1\) over the 5 customers. This requires two sub-calculations: \(P(0; 5, 0.25) = C(5, 0) * 0.25^0 * (1 - 0.25)^{5 - 0}\) and \(P(1; 5, 0.25) = C(5, 1) * 0.25^1 * (1 - 0.25)^{5 - 1}\). Add these two probabilities to get the answer for Part b.
03

Calculation for Part c

This requires calculation for \(P(2 \leq x)\), that is the probability that at least 2 customers use the express checkout. This computation can be reduced by 1-the probability computed in Part b (because the sum of all probabilities equals 1). So, \(P(2 \leq x)= 1 -P(x \leq 1)\). This opposite event method helps us avoid calculating each individual probability for \(x = 2,3,4,5\).
04

Calculation for Part d

To solve for \(P(x \neq 2)\), we can use the concept of complementary probability again. This event is the opposite of \(x = 2\), so we can compute this probability by \(P(x \neq 2) = 1 - P(x = 2)\), where \(P(x = 2)\) was calculated in part a.

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Most popular questions from this chapter

Bob and Lygia are going to play a series of Trivial Pursuit games. The first person to win four games will be declared the winner. Suppose that outcomes of successive games are independent and that the probability of Lygia winning any particular game is .6. Define a random variable \(x\) as the number of games played in the series. a. What is \(p(4)\) ? (Hint: Either Bob or Lygia could win four straight games.) b. What is \(p(5) ?\) (Hint: For Lygia to win in exactly five games, what has to happen in the first four games and in Game \(5 ?\) ) c. Determine the probability distribution of \(x\). d. How many games can you expect the series to last?

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Seventy percent of the bicycles sold by a certain store are mountain bikes. Among 100 randomly selected bike purchases, what is the approximate probability that a. At most 75 are mountain bikes? b. Between 60 and 75 (inclusive) are mountain bikes? c. More than 80 are mountain bikes? d. At most 30 are not mountain bikes?

A grocery store has an express line for customers purchasing at most five items. Let \(x\) be the number of items purchased by a randomly selected customer using this line. Give examples of two different assignments of probabilities such that the resulting distributions have the same mean but quite different standard deviations.

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