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The frequency table summarizes the distribution of time that 140patients at the

emergency room of a small-city hospital waited to receive medical attention during the

last month.

Waiting time
Frequency
Less than 10minutes
5
At least 10 but less than 20 minutes
24
At least 20 but less than 30 minutes
45
At least 30 but less than 40 minutes
38
At least 40 but less than 50 minutes
19
At least 50 but less than 60 minutes
7
At least 60 but less than 70 minutes
2

Which of the following represents possible values for the median and IQR of waiting

times for the emergency room last month?

a. median = 27minutes and IQR = 15minutes

b. median = 28minutes and IQR = 25minutes

c. median = 31minutes and IQR = 35minutes

d. median = 35minutes and IQR = 45minutes

e. median = 45minutes and IQR = 55minutes

Short Answer

Expert verified

Option (a) median = 27and IQR=15 is Correct.

Step by step solution

01

Given Information

We have to select the best option from the multiple choice question according to the given question.

Waiting time Frequency
Less than10minutes 5
At least 10 but less than 20 minutes 24
At least 20 but less than 30 minutes
45
At least 30but less than 40 minutes 38
At least40but less than 50minutes 19
At least50 but less than60 minutes 7
At least 60 but less than 70 minutes
2
02

Explanation

Let's start with the total frequency:

5+24+45+38+19+7+2=140

The average of the 70th and 71st values will be the median.
Because the first two categories have a frequency of 5+24=29and the first three categories have a frequency of 5+24+45=74, the 70th and 71st values will fall into the third group, and the median will be between 20and 30minutes.

We also know that the distribution is right skewed, which means that the mean is greater than the median. Therefore, correct option is (b).

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Most popular questions from this chapter

Frozen batteries Will storing batteries in a freezer make them last longer? To find out, a company that produces batteries takes a random sample of 100 AA batteries from its warehouse. The company statistician randomly assigns 50 batteries to be stored in the freezer and the other 50 to be stored at room temperature for 3 years. At the end of that time period, each batteryโ€™s charge is tested. Result: Batteries stored in the freezer had a significantly higher average charge. What conclusion can we draw from this study? Explain your reasoning.

A popular website places opinion poll questions next to many of its news stories. Simply

click your response to join the sample. One of the questions was โ€œDo you plan to diet this

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following is true?

a. About 68% of Americans planned to diet.

b. The poll used a convenience sample, so the results tell us little about the population of

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e. None of these.

SRS of students? At a party, there are 30 students over age 21 and 20students underage21. You choose at random 3 of those over 21 and separately choose at random 2 of those under 21 to interview about their attitudes toward alcohol. You have given every student at the party the same chance to be interviewed. Is your sample an SRS? Explain your answer.

Bias in a sampling method is

a. any difference between the sample result and the truth about the population.

b. the difference between the sample result and the truth about the population due to

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c. any difference between the sample result and the truth about the population due to

practical difficulties such as contacting the subjects selected.

d. any difference between the sample result and the truth about the population that

tends to occur in the same direction whenever you use this sampling method.

e. racism or sexism on the part of those who take the sample.

A local news agency conducted a survey about unemployment by randomly dialing phone

numbers during the work day until it gathered responses from 1000 adults in its state. In

the survey, 19% of those who responded said they were not currently employed. In reality,

only 6% of the adults in the state were not currently employed at the time of the survey.

Which of the following best explains the difference in the two percentages?

a. The difference is due to sampling variability. We shouldnโ€™t expect the results of a

random sample to match the truth about the population every time.

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say that they are unemployed.

c. The difference is due to undercoverage bias. The survey included only adults and did

not include teenagers who are eligible to work.

d. The difference is due to nonresponse bias. Adults who are employed are less likely to

be available for the sample than adults who are unemployed.

e. The difference is due to voluntary response. Adults are able to volunteer as a member

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