1. Producing Data: Sampling
BPS 7e Chapter 8
© 2015 W. H. Freeman and Company

2. Population vs. Sample
A 45,000-pound truckload of potatoes is considered for purchase by a potato chip company. The company selects 150 pounds of potatoes from five points in the shipment for inspection. If the fraction of acceptable potatoes is high enough in the 150-pound selection of potatoes, the shipment will be purchased.
What is the population in this example?
all potatoes in the world
all potatoes in the United States
all potatoes in the truckload
all potatoes in the 150-pound selection

3. Population vs. Sample (answer)
A 45,000-pound truckload of potatoes is considered for purchase by a potato chip company. The company selects 150 pounds of potatoes from five points in the shipment for inspection. If the fraction of acceptable potatoes is high enough in the 150-pound selection of potatoes, the shipment will be purchased.
What is the population in this example?
all potatoes in the world
all potatoes in the United States
all potatoes in the truckload
all potatoes in the 150-pound selection

4. Population vs. Sample
A 45,000-pound truckload of potatoes is considered for purchase by a potato chip company. The company selects 150 pounds of potatoes from five points in the shipment for inspection. If the fraction of acceptable potatoes is high enough in the 150-pound selection of potatoes, the shipment will be purchased.
What is the sample in this example?
all potatoes in the world
all potatoes in the United States
all potatoes in the truckload
all potatoes in the 150-pound selection

5. Population vs. Sample (answer)
A 45,000-pound truckload of potatoes is considered for purchase by a potato chip company. The company selects 150 pounds of potatoes from five points in the shipment for inspection. If the fraction of acceptable potatoes is high enough in the 150-pound selection of potatoes, the shipment will be purchased.
What is the sample in this example?
all potatoes in the world
all potatoes in the United States
all potatoes in the truckload
all potatoes in the 150-pound selection

6. Population vs. Sample 300 students 150 students 15,000 students
A professor wants to know how undergraduate students at X University feel about food services on campus, in general. She obtains a list of addresses of all 15,000 registered undergraduates from the registrar’s office and mails a questionnaire to 300 students selected at random. Only 150 questionnaires are returned.
What is the size of the population in this example?
300 students
150 students
15,000 students
= 450 students

7. Population vs. Sample (answer)
A professor wants to know how undergraduate students at X University feel about food services on campus, in general. She obtains a list of addresses of all 15,000 registered undergraduates from the registrar’s office and mails a questionnaire to 300 students selected at random. Only 150 questionnaires are returned.
What is the size of the population in this example?
300 students
150 students
15,000 students
= 450 students

8. Sampling Badly
In 1993, presidential candidate Ross Perot appeared on television to voice his opinions on government reform. To gauge public opinion, Perot urged viewers to fill out the survey appearing in that week’s issue of TV Guide. Of the approximately 1.4 million respondents, 98% agreed with Ross Perot’s platform on health care reform.
What type of sampling method was used?
convenience sample
voluntary response sample
simple random sample
stratified sample
multistage sample

9. Sampling Badly (answer)
In 1993, presidential candidate Ross Perot appeared on television to voice his opinions on government reform. To gauge public opinion, Perot urged viewers to fill out the survey appearing in that week’s issue of TV Guide. Of the approximately 1.4 million respondents, 98% agreed with Ross Perot’s platform on health care reform.
What type of sampling method was used?
convenience sample
voluntary response sample
simple random sample
stratified sample
multistage sample

10. Simple Random Sample
We want to select a simple random sample of 5% of voters exiting a polling station. Which of the following does not produce a simple random sample of people exiting from a polling station?
Starting with a randomly chosen first voter, stop every 20th person exiting from the station; ask them to fill out a survey.
For each person exiting the station, randomly draw a number between 1 and 20; if the number drawn is 1, ask the person to fill out a survey.
Put the names of all registered voters in a box; stir the box; draw out 5% of the names; ask people whose names are on the list to fill out a survey.
Ask all voters to fill out a survey; shuffle the surveys 10 times; select the 5% of the surveys that are on the top of the pile.

11. Simple Random Sample (answer)
We want to select a simple random sample of 5% of voters exiting a polling station. Which of the following does not produce a simple random sample of people exiting from a polling station?
Starting with a randomly chosen first voter, stop every 20th person exiting from the station; ask them to fill out a survey.
For each person exiting the station, randomly draw a number between 1 and 20; if the number drawn is 1, ask the person to fill out a survey.
Put the names of all registered voters in a box; stir the box; draw out 5% of the names; ask people whose names are on the list to fill out a survey.
Ask all voters to fill out a survey; shuffle the surveys 10 times; select the 5% of the surveys that are on the top of the pile.

12. Inference An important characteristic of probability samples is that
results of one sample are usually the same as the results for the entire population.
results of one sample are usually the same as the results for another sample of the same size.
principles of chance apply and the size of error due to sampling is measurable.
smaller samples give more accurate results than larger samples.

13. Inference (answer)
An important characteristic of probability samples is that
results of one sample are usually the same as the results for the entire population.
results of one sample are usually the same as the results for another sample of the same size.
principles of chance apply and the size of error due to sampling is measurable.
smaller samples give more accurate results than larger samples.

14. Inference
Two simple random samples (each consisting of 1000 people) using the same question and carried out at the same time, will produce the same estimate of the population parameter.
True
False

15. Inference (answer)
Two simple random samples (each consisting of 1000 people) using the same question and carried out at the same time, will produce the same estimate of the population parameter.
True
False

16. Other Sampling Designs
Suppose you want to estimate the proportion of students at a large university that approve of the new health care bill. You take an SRS of 200 of the 25,000 undergraduate students and an SRS of 100 of the 5000 graduate students. This overall sample is a
voluntary response sample.
simple random sample.
stratified sample.
multistage sample.
None of the above.

17. Other Sampling Designs (answer)
Suppose you want to estimate the proportion of students at a large university that approve of the new health care bill. You take an SRS of 200 of the 25,000 undergraduate students and an SRS of 100 of the 5000 graduate students. This overall sample is a
voluntary response sample.
simple random sample.
stratified sample.
multistage sample.
None of the above.

18. Other Sampling Designs
A sample selected by taking the members of the population that are easiest to reach is called a __________ sample, which often produces ___________ data.
convenience; representative
simple random; representative
convenience; unrepresentative
simple random; unrepresentative

19. Other Sampling Designs (answer)
A sample selected by taking the members of the population that are easiest to reach is called a __________ sample, which often produces ___________ data.
convenience; representative
simple random; representative
convenience; unrepresentative
simple random; unrepresentative

20. Other Sampling Designs
Which of the following sampling schemes describes a multistage sample of 200 undergraduate students at a large university?
Obtain a list of the undergraduate students at the large university; assign consecutive numbers to the students on the list; use a random number table to select 200 university students.
Obtain a list of all freshmen, sophomores, juniors, and seniors; use a random number table to randomly select 50 students from each class.
Randomly select 10 departments; within each department, randomly select 20 undergraduate students.

21. Other Sampling Designs (answer)
Which of the following sampling schemes describes a multistage sample of 200 undergraduate students at a large university?
Obtain a list of the undergraduate students at the large university; assign consecutive numbers to the students on the list; use a random number table to select 200 university students.
Obtain a list of all freshmen, sophomores, juniors, and seniors; use a random number table to randomly select 50 students from each class.
Randomly select 10 departments; within each department, randomly select 20 undergraduate students.

22. Other Sampling Designs
Which of the following is NOT an example of random sampling?
voluntary response sample
simple random sample
stratified sample
multistage sample
All are random samples.

23. Other Sampling Designs (answer)
Which of the following is NOT an example of random sampling?
voluntary response sample
simple random sample
stratified sample
multistage sample
All are random samples.

24. Cautions
A Gallup poll sponsored by the disposable diaper industry asked, “It is estimated that disposable diapers account for less than 2% of the trash in today’s landfills. In contrast, beverage containers, third-class mail, and yard waste are estimated to account for about 21% of the trash in landfills. Given this, in your opinion, would it be fair to ban disposable diapers?”
From which type of bias does this poll suffer?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

25. Cautions (answer)
A Gallup poll sponsored by the disposable diaper industry asked, “It is estimated that disposable diapers account for less than 2% of the trash in today’s landfills. In contrast, beverage containers, third-class mail, and yard waste are estimated to account for about 21% of the trash in landfills. Given this, in your opinion, would it be fair to ban disposable diapers?”
From which type of bias does this poll suffer?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

26. Cautions
True or False: Bias can occur in both random and non-random samples.
True
False

27. Cautions (answer)
True or False: Bias can occur in both random and non-random samples.
True
False

28. Cautions
Using a local telephone book to select a simple random sample could introduce what type of bias?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

29. Cautions (answer)
Using a local telephone book to select a simple random sample could introduce what type of bias?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

30. Cautions
If people tend to respond differently to a question depending on whether the interviewer is male or female, which type of bias is present?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

31. Cautions (answer)
If people tend to respond differently to a question depending on whether the interviewer is male or female, which type of bias is present?
under-coverage bias
non-response bias
response bias
question wording bias
interviewer bias

32. Cautions
Although web surveys are becoming more frequent, many of them still suffer from which type of bias?
volunteer response bias
under-coverage bias
non-response bias
All of the above.

33. Cautions (answer)
Although web surveys are becoming more frequent, many of them still suffer from which type of bias?
volunteer response bias
under-coverage bias
non-response bias
All of the above.