QUIZ 5 PART 1
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Questions and Answers

Which of the following statements is NOT correct?

  • A population is the entire group you want to draw conclusions about.
  • A sampling frame is a list of sampling units from which you select your sample.
  • The sampling frame always matches the target population. (correct)
  • A sample is the specific group that you will collect data from.

    • A hotel sent a survey to 190 members of their loyalty program. Of those, 115 completed the survey. What is the sample?

  • All hotel guests.
  • All loyalty program members.
  • The 190 members who received the survey.
  • The 115 members who completed the survey. (correct)

    • Which of the following statements is NOT correct about probability sampling?

  • It is based on randomization.
  • It is likely to generate a representative sample.
  • It is less time-consuming than non-probability sampling. (correct)
  • It can reduce sampling biases.

    • Which of the following statements is correct about stratified random sampling?

    <p>It ensures that every subgroup is represented.</p> Signup and view all the answers

    A researcher surveyed every 5th customer who entered the restaurant throughout the week. Which sampling technique is being used?

    <p>Systematic sampling.</p> Signup and view all the answers

    A researcher wanted to study household energy usage, so they randomly selected 10 neighborhoods and surveyed every household in each. Which sampling technique is being used?

    <p>Cluster sampling.</p> Signup and view all the answers

    A researcher interviewed one book collector, who referred them to others. Which sampling technique is being used?

    <p>Snowball sampling.</p> Signup and view all the answers

    Study Notes

    Sample

    • The sample refers to the group of individuals who actually participate in the study.
    • In this case, the sample is the 115 members who completed the hotel's loyalty program survey.

    Probability Sampling

    • Probability sampling ensures that each member of the population has a known, non-zero chance of being selected for the sample.
    • It allows for generalization of findings from the sample to the larger population.

    Stratified Random Sampling

    • Stratified random sampling involves dividing the population into subgroups (strata) based on shared characteristics.
    • Then, random samples are selected from each stratum, ensuring representation of all subgroups in the final sample.

    Systematic Sampling

    • Systematic sampling selects individuals at regular intervals from a list of the population.
    • In this case, every 5th customer entering the restaurant is selected.

    Cluster Sampling

    • Cluster sampling involves dividing the population into clusters (often geographically defined groups).
    • Then, clusters are randomly selected, and all individuals within the selected clusters are included in the sample.

    Snowball Sampling

    • Snowball sampling relies on referrals from initial participants to find additional participants.
    • It is helpful when targeting specific, hard-to-reach populations.

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