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Thousands of travelers pass through the airport in Guadalajara, Mexico, each day. Before leaving the airport, each passenger must pass through the Customs inspection area. Customs agents want to be sure that passengers do not bring illegal items into the country. But they do not have time to search every traveler鈥檚 luggage. Instead, they require each person to press a button. Either a red or a green bulb lights up. If the red light shows, the passenger will be searched by Customs agents. A green light means 鈥済o ahead.鈥 Customs agents claim that the proportion of all travelers who will be stopped (red light) is0.30, because the light has probability 0.30of showing red on any push of the button. To test this claim, a concerned citizen watches a random sample of 100travelers push the button. Only 20get a red light.

(a) Assume that the Customs agents鈥 claim is true. Find the probability that the proportion of travelers who get a red light is as small as or smaller than the result in this sample. Show your work.

(b) Based on your results in (a), do you believe the Customs agents鈥 claim? Explain.

Short Answer

Expert verified

(a) Probability is 0.0145

(b)The researcher does not believe the customs agent claim.

Step by step solution

01

Part(a) Step 1: Given information

Given in the question that, Thousands of travelers pass through the airport in Guadalajara, Mexico, each day. Before leaving the airport, each passenger must pass through the Customs inspection area. Customs agents want to be sure that passengers do not bring illegal items into the country. But they do not have time to search every traveler鈥檚 luggage. Instead, they require each person to press a button. Either a red or a green bulb lights up. If the red light shows, the passenger will be searched by Customs agents. A green light means 鈥済o ahead.鈥 Customs agents claim that the proportion of all travelers who will be stopped (red light) is 0.30, because the light has probability0.30of showing red on any push of the button. To test this claim, a concerned citizen watches a random sample of 100 travelers push the button. Only 20 get a red light

02

Part(a) Step 2: Explanation

Given,

Probability of success(p)=0.30

Number of events(x)=20

Number of trials (n)=100

If Xis a random variable represented as the number of people who get the red light.

Since, np(mean) and np(1-p)(variance) are greater than 5. Therefore, Xwill follow Normal approximation.

X~N(np,np(1-p))

X~N(100(0.30),100(0.30)(1-0.30))

role="math" X~N(30,21)

The probability that the proportion of travelers who get a red light less than 20, can be calculated as

localid="1650254778514" P(X<20)=PX-npnp(1-p)<20-30214.5826=P(Z<-2.1822)=0.0145 (From standard normal table)

Thus, the required probability is 0.0145

03

Part(b) Step 3: Given information

Given in the question that, Thousands of travelers pass through the airport in Guadalajara, Mexico, each day. Before leaving the airport, each passenger must pass through the Customs inspection area. Customs agents want to be sure that passengers do not bring illegal items into the country. But they do not have time to search every traveler鈥檚 luggage. Instead, they require each person to press a button. Either a red or a green bulb lights up. If the red light shows, the passenger will be searched by Customs agents. A green light means 鈥済o ahead.鈥 Customs agents claim that the proportion of all travelers who will be stopped (red light) is 0.30, because the light has probability0.30 of showing red on any push of the button. To test this claim, a concerned citizen watches a random sample of 100 travelers push the button. Only 20 get a red light.

04

Part(b) Step 4: Explanation

From the above part, the probability is0.0146. Since, the probability is low subsequently it seems, by all accounts, to be that the claim is false, Thus, the specialist doesn't completely accept that that the customs agent claim.

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Most popular questions from this chapter

Larger sample Suppose that the blood cholesterol level of all men aged 20-34follows the Normal distribution with mean =188milligrams per deciliter (mg/dl) and standard deviation =41mg/dl

(a) Choose an SRS of 100men from this population What is the sampling distribution of x?

(b) Find the probability that xestimates within 3mg/dl. (This is the probability thatxtakes a value between 185and191mg/dl.) Show your work.

(c) Choose an SRS of 1000men from this population. Now what is the probability that xfalls within3mg/dlof? show your wrok.in what sense is the large sample "better".

The name for the pattern of values that a statistic takes when we sample repeatedly from the same population is

(a) the bias of the statistic.

(b) the variability of the statistic.

(c) the population distribution.

(d) the distribution of sample data.

(e) the sampling distribution of the statistic.

The number of undergraduates at Johns Hopkins University is approximately 2000, while the number at Ohio State University is approximately 40,000. At both schools, a simple random sample of about 3%of the undergraduates is taken. Each sample is used to estimate the proportion p of all students at that university who own an iPod. Suppose that, in fact, p=0.80at both schools. Which of the following is the best conclusion?

(a) The estimate from Johns Hopkins has less sampling variability than that from Ohio State.

(b) The estimate from Johns Hopkins has more sampling variability than that from Ohio State.

(c) The two estimates have about the same amount of sampling variability.

(d) It is impossible to make any statement about the sampling variability of the two estimates since the students surveyed were different.

(e) None of the above

Do you go to church? What sample size would be required to reduce the standard deviation of the sampling distribution to one-third the value you found in Exercise 36 (b)? Justify your answer.

The student newspaper at a large university asks an SRS of 250undergraduates, 鈥淒o you favor eliminating the carnival from the term-end celebration?鈥 All in all, 150of the 250are in favor. Suppose that (unknown to you) 55%of all undergraduates favor eliminating the carnival. If you took a very large number of SRSs of size n=250from this population, the sampling distribution of the sample proportion Pwould be

(a) exactly Normal with mean 0.55and standard deviation of 0.03

(b) approximately Normal with mean 0.55and standard deviation 0.03.

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(d) approximately Normal with mean 0.60and standard deviation 0.03.

(e) heavily skewed with mean 0.55and standard deviation 0.03.

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