• 1. 
    A teacher hands out an index card and asks all of her students to write down the following information: age, height (in inches), and what grade they are in.Which of the following best describes her method of data collection?

  • Census
  • Simple Random Sample
  • Cluster Random Sample
  • Stratified Random Sample
  • 2. 
    Why do we randomly select our samples?

  • for control
  • reduce bias
  • so we don't get the same answers from everyone
  • to eliminate confounding results
  • 3. 
    An independent research company wants to go door to door to survey people in the city of Fontana. The company decides to number all blocks within the city limit, randomly choose 50 blocks and survey all households on each selected block. This is an example of:

  • Simple Random Sample
  • Stratified Random Sample
  • Cluster Random Sample
  • Systematic Random Sampling
  • 4. 
    To randomly select 25 basketball players from the 300 players in the NBA, I would:

  • Number the players from 01-25, read 3 digits at a time from a random table, discarding repeats and numbers over 25, and then stop when I reach 25.
  • Number the players from 0-299, read 2 digits at a time from a random table, discarding repeats and numbers over 299, and stop when I reach 25.
  • Number the players from 01-299, read 2 digits at a time from a random table, discarding repeats and numbers over 300, and stop when I reach 25.
  • Number the players from 001-300, read 3 digits at a time from a random table, discarding repeats, 000 and numbers over 300, and stop when I reach 25.
  • 5. 
    Interview every 10th student who enters the school in the morning.

  • simple random
  • voluntary response
  • systematic
  • convenience
  • 6. 
    Disneyland often surveys its guests as they exit a restaurant during their visit. The surveyor stands at the restaurant exit, counts the number of people leaving, and surveys every 25th guest.This is a form of:

  • Simple Random Sample
  • Stratified Random Sample
  • Voluntary Response
  • Systematic Random Sampling
  • 7. 
    Which of the following is TRUE?

  • In a multi-stage random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
  • In a stratified random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
  • In a cluster random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
  • In a simple random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
  • 8. 
    Marianne wanted to know students' opinion on the new schedule at school. So she randomly selected 2 students from each class during second period. This is a form of:

  • Convenience Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Sampling
  • 9. 
    A teacher splits her classes up by period. She then randomly picks 3 students from each period to do a survey.

  • Stratified.
  • Systematic
  • Cluster
  • Biased.
  • 10. 
    Exit polls (where the surveyor asks those who are leaving the poll booths on election day) are a form of:

  • Voluntary Response
  • Convenience Sampling
  • Simple Random Sampling
  • Systematic Sampling
  • 11. 
    Political webpages often allow readers to rate whether they strongly agree, agree, disagree, or strongly disagree with the President's decision on any given situation. This is a form of:

  • Voluntary Response
  • Convenience Sampling
  • Stratified Random Sampling
  • Cluster Sampling
  • 12. 
    A teacher wants to know how well her students are doing on a topic. She randomly picks one class to survey.

  • Simple Random
  • Cluster
  • Stratified
  • Systematic
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