3. Good and bad sampling (3.2, 3.3) The administration at a high school with 1800 students wants to gather student opinion about parking for students on campus. It isn't practical to contact all students. A) Give an example of a way to choose a voluntary response sample of students. Explain how this method could lead to bias. B) Give an example of a way to choose a convenience sample of students. Explain how this method could lead to bias. C) Describe how to select an SRS of 50 students from the school using technology. D) Explain how the method you described in part (c) avoids the biases you described in parts (a) and (b).

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 6E
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3. Good and bad sampling (3.2, 3.3) The administration at a high school with 1800 students
wants to gather student opinion about parking for students on campus. It isn't practical to
contact all students.
A) Give an example of a way to choose a voluntary response sample of students.
Explain how this method could lead to bias.
B) Give an example of a way to choose a convenience sample of students.
Explain how this method could lead to bias.
C) Describe how to select an SRS of 50 students from the school using
technology.
D) Explain how the method you described in part (c) avoids the biases you
described in parts (a) and (b).
Transcribed Image Text:3. Good and bad sampling (3.2, 3.3) The administration at a high school with 1800 students wants to gather student opinion about parking for students on campus. It isn't practical to contact all students. A) Give an example of a way to choose a voluntary response sample of students. Explain how this method could lead to bias. B) Give an example of a way to choose a convenience sample of students. Explain how this method could lead to bias. C) Describe how to select an SRS of 50 students from the school using technology. D) Explain how the method you described in part (c) avoids the biases you described in parts (a) and (b).
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