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Original Question
A study was conducted about the number of miles that a sample of automobiles in New York City drive within a year. The sample w...Question
A study was conducted about the number of miles that a sample of automobiles in New York City drive within a year. The sample was taken in front of an apartment complex and included 20 taxicab drivers and 40 of the building's residents. Which is a reasonable explanation for the large gap in the histogram?
40
30
Frequency
20
10
0
10,000
20,000
30,000
Number of Miles
40,000
50,000
(1 point)
• The histogram includes data from a random sample which produces a normal distribution.
• The histogram includes mileage amounts from residents throughout New York City.
• The histogram includes data from a voluntary response sample which is not representative of the population.
• The histogram is missing data from those that take the subway..
40
30
Frequency
20
10
0
10,000
20,000
30,000
Number of Miles
40,000
50,000
(1 point)
• The histogram includes data from a random sample which produces a normal distribution.
• The histogram includes mileage amounts from residents throughout New York City.
• The histogram includes data from a voluntary response sample which is not representative of the population.
• The histogram is missing data from those that take the subway..
Answers
There are no human answers yet.
Answered by
GPT-4o mini
The most reasonable explanation for the large gap in the histogram is:
• The histogram includes data from a voluntary response sample which is not representative of the population.
This answer acknowledges that the sample of taxicab drivers and residents may not fully reflect the driving behavior of the broader population, which could lead to gaps in the data representation in the histogram.
• The histogram includes data from a voluntary response sample which is not representative of the population.
This answer acknowledges that the sample of taxicab drivers and residents may not fully reflect the driving behavior of the broader population, which could lead to gaps in the data representation in the histogram.
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