Trivia Questions On Sampling Design

10 Questions | Total Attempts: 3478

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Trivia Questions On Sampling Design

Here are some Trivia Questions on Sampling Design. When it comes to sampling, it is important for a person to have the correct sample that has the same characteristics as the entire population in order for the results to be the same. Take up the quiz and see if you understand the sampling techniques that you will be expected to use in the field. All the best!


Questions and Answers
  • 1. 
    What is the main difference between probability and non-probability sampling?
    • A. 

      Probability sampling involves the need for the computation of a sample via certain equations

    • B. 

      Non-probability sampling is preferred in qualitative research

    • C. 

      Randomization is involved in probability sampling

    • D. 

      Non-probability sampling is more appropriate for interviews

  • 2. 
    During the conduct of his survey, Lucas chose his respondents by ensuring that they are those who can provide him the needed data for his study. The type of non-probability sampling that he utilized is known as:
    • A. 

      Convenience sampling

    • B. 

      Judgement sampling

    • C. 

      Snowball sampling

    • D. 

      Quota sampling

  • 3. 
    Which among the following formulas is relevant towards systematic random sampling?
    • A. 

      K = N / n

    • B. 

      N = N / k

    • C. 

      N = (Ni / N) (n)

    • D. 

      K = (N)(N) / 2n

  • 4. 
    Engelbert chooses the elements for his sample by giving particular attention for each sub-population. He sees to it that every computed stratum sample is the same with the other strata and that the respondents are chosen randomly. What sampling design is used?
    • A. 

      Systematic random sampling

    • B. 

      Stratified random sampling with equal allocation

    • C. 

      Stratified random sampling with proportional allocation

    • D. 

      Cluster sampling

  • 5. 
    A sampling technique used in Qualitative research wherein the researcher chooses individuals who are easily accessible to become respondents for the study.
    • A. 

      Judgment Sampling

    • B. 

      Convenience Sampling

    • C. 

      Snowball Sampling

    • D. 

      Quota Sampling

  • 6. 
    Michael wanted to have an equal allocation of units per sample of each stratum for a population of 352. The following are the subpopulation for each stratum: Chinese 125, Japanese 84, Filipino 94, and Korean 49. How many sample for each stratum would be needed?
    • A. 

      37

    • B. 

      47

    • C. 

      57

    • D. 

      67

  • 7. 
    A type of probability sampling where the researcher randomly selects groups from an assemblage then considers the population for each selected group to be engaged in the study.
    • A. 

      Simple random sampling

    • B. 

      Systematic sampling

    • C. 

      Stratified random sampling

    • D. 

      Cluster sampling

  • 8. 
    During the course of his study, Felipe noted that the 514 patients were categorized based on their developmental stage. The following were listed: Adolescence 163, Young Adult 201, and Late Adult 150. Help Felipe in trying to compute for the sample per stratum using stratified random sampling with proportional allocation. This would give us:
    • A. 

      Adolescent 65, Young Adult 93, Late Adult 66

    • B. 

      Adolescent 71, Young Adult 88, Late Adult 66

    • C. 

      Adolescent 71, Young Adult 80, Late Adult 74

    • D. 

      Adolescent 62, Young Adult 93, Late Adult 78

  • 9. 
    • A. 

      Convenience sampling

    • B. 

      Judgement sampling

    • C. 

      Snowball sampling

    • D. 

      Quota sampling

  • 10. 
    Marice determines her respondents by asking people as to who would be most suited for her study. Through this, she is referred from one respondent to the other. What type of non-probability sampling has been utilized?
    • A. 

      Convenience sampling

    • B. 

      Snowball sampling

    • C. 

      Judgement sampling

    • D. 

      Quota sampling