Sampling Techniques

Mrs. Trahan samples her class by selecting all students sitting at group 1 and group 5 in her classroom.  This sampling technique is called?

• Simple
• Stratified
• Systematic
• Cluster

Tags

CCSS.7.SP.A.1

A school psychologist wants to investigate student depression. She selects, at random, samples of 30 freshmen, 30 sophomores, 30 juniors, and 30 seniors to interview. Which of the following best describes the principal's sampling plan?

• A convenience sample

• A simple random sample

• A stratified random sample

• A cluster sample

• A systematic sample

Tags

CCSS.HSS.IC.B.3

Which of the following is a true statement?

• If bias is present in a sampling procedure, it can be overcome by dramatically increasing the sample size

• There is no such thing as a “bad sample”

• Sampling techniques that use probability techniques effectively eliminate bias

• Convenience samples often lead to undercoverage bias

• Voluntary response samples often underrepresent people with strong opinions

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

Many colleges are moving toward coed dormitories. A Residential Life director plans to sample student attitudes toward this arrangement. He randomly selects three of the 12 dorms and sends a questionnaire to all residents living in them. Which of the following best describes the director’s sampling plan?

• A convenience sample

• A simple random sample

• A stratified sample

• A cluster sample

• A systematic sample

Tags

CCSS.HSS.IC.B.3

To evaluate their catering service with regard to culinary excellence, airline executives plan to pick a random passenger to start with and then survey every tenth passenger departing from a Beijing to San Francisco flight. Which of the following best describes the executives’ sampling plan?

• A convenience sample

• A simple random sample

• A stratified sample

• A cluster sample

• A systematic sample

Tags

CCSS.HSS.IC.B.3

In a study of successes and failures in adopting Common Core standards, a random sample of high school principals will be selected from each of the 50 states. Selected individuals will be asked a series of evaluative questions. Why is stratification used here?

• To minimize response bias

• To minimize nonresponse bias

• To minimize voluntary response bias

• Because each state is roughly representative of the U.S. population as a whole

• To obtain higher statistical precision because variability of responses within a state is likely less than variability of responses found in the overall population

Tags

CCSS.HSS.IC.B.3

To find out the average occupancy size of student-rented apartments, a researcher picks an SRS of 100 such apartments. Even after one follow-up visit, the interviewer is unable to make contact with anyone in 27 of these apartments. Concerned about nonresponse bias, the researcher chooses another SRS and instructs the interviewer to continue this procedure until contact is made with someone in a total of 100 apartments. The average occupancy size in the final 100-apartment sample is 2.78. Is this estimate probably too low or too high?

• Too low, because of undercoverage bias

• Too low, because of convenience samples overestimate average results

• Too high, because of undercoverage bias

• Too high, because convenience samples overestimate average results

• Too high, because voluntary response samples overestimate average results

Tags

CCSS.HSS.IC.B.3

To survey the opinions of bleacher fans at Wrigley Field, a surveyor plans to select every one-hundredth fan entering the bleachers on e afternoon. Will this result in a simple random sample of Cub fans who sit in the bleachers?

• Yes, because each bleacher fan has the same chance of being selected

• Yes, but only if there is a single entrance to the bleachers

• Yes, because the 99 out of 100 bleacher fans who are not selected will form a control group

• Yes, because this is an example of systematic sampling, which is a special case of simple random sampling

• No, because not every sample of the intended size has an equal chance of being selected

Tags

CCSS.HSS.IC.B.3

A researcher plans a study to examine the depth of belief in God among the adult population. He obtains a simple random sample of 100 adults as they leave church one Sunday morning. All but one of them agree to participate in the survey. Which of the following is a true statement?

• Proper use of chance as evidenced by the simple random sample makes this a well-designed survey

• The high response rate makes this a well-designed survey

• Selection bias makes this a poorly designed survey

• The validity of this survey depends on whether or not the adults attending this church are representative of all churches

• The validity of this survey depends upon whether or not similar numbers of those surveyed are male or female

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1

When we take a census, we attempt to collect data from

• a stratified random sample

• every individual chosen in a simple random sample

• every individual in the population

• a voluntary response sample

• a convenience sample

Tags

CCSS.7.SP.A.1

CCSS.HSS.IC.A.1