Suppose that, when taking a random sample of three students' GPAS, you get a sample mean of 3.90. This sample mean is far higher than the college-wide (population) mean. Does this provide that your sample is biased? Explain. What else could have caused this high mean? Choose the correct answer below. O A. The sample may not be biased. The high mean might have occurred by chance, since the sample size is very small. O B. Nothing other than bias could have caused this small mean. O c. One or more of the students could have lied about their GPAS. O D. The sample may not be biased. The measurements may not have been precise.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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Suppose that, when taking a random sample of three students' GPAS, you get a sample mean of 3.90. This sample mean is far higher than the college-wide (population) mean. Does this provide that your
sample is biased? Explain. What else could have caused this high mean?
Choose the correct answer below.
A. The sample may not be biased. The high mean might have occurred by chance, since the sample size is very small.
O B. Nothing other than bias could have caused this small mean.
C. One or more of the students could have lied about their GPAS.
O D. The sample may not be biased. The measurements may not have been precise.
Transcribed Image Text:Suppose that, when taking a random sample of three students' GPAS, you get a sample mean of 3.90. This sample mean is far higher than the college-wide (population) mean. Does this provide that your sample is biased? Explain. What else could have caused this high mean? Choose the correct answer below. A. The sample may not be biased. The high mean might have occurred by chance, since the sample size is very small. O B. Nothing other than bias could have caused this small mean. C. One or more of the students could have lied about their GPAS. O D. The sample may not be biased. The measurements may not have been precise.
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