Pricing
Login
Login
Quiz MakerFlashcard MakerNote MakerStudy Guide MakerPodcast GeneratorAI Tutor
PDF to QuizPDF to NotesPDF to FlashcardsPDF to PodcastVideo to NotesView all use cases
Exam prep
NCLEX-RN QBank (Beta)
Subjects
MedicineNursingDentistryLawPharmacy
Pricing
Sampling Techniques: Population and Types

Sampling Techniques: Population and Types

Explore sampling techniques with Dr. Wilson Cordova. Learn why we use samples instead of studying entire populations, focusing on manageability, cost-effectiveness, and efficiency. Understand the differences between probability and non-probability sampling methods.

Recommended next

28 questions ready

Start with a quiz

Answer from memory first, then use the existing quiz review flow for anything you miss.

Activities

Quiz28 Questions
Flashcards18 Cards
Study Notes1 Note
Podcast1 Episode

Modules

Learn in sequence

Start with the earlier modules and work forward. Each one builds on the last, so the course gets more advanced as you go.

Sampling Techniques: Population and Types

Quiz • 28 Questions

Sampling Techniques: Population and Types - Flashcards

Flashcards • 18 Cards

Study Notes

4 min • Summary

Sampling Techniques: Population and Types - Podcast

Podcast

Materials

List of Questions28 questions
  1. Question 1
    • A population is a complete set of all measurements of interest to a researcher, while a sample is a subset of that population.
    • A sample is an exhaustive list of all possible subjects fitting the research criteria, whereas a population is a subset.
    • A population includes only readily available subjects, while a sample is the entire group of interest.
    • A sample includes all subjects, while the population includes only those that are convenient to reach for the research.
  2. Question 2
    • Sampling is more complex, which leads to more accurate results.
    • Studying an entire population is manageable, and sampling avoids any potential bias.
    • Studying an entire population is impossible, and sampling saves time, effort and resources.
    • Studying an entire population is always quicker if there is enough funding.
  3. Question 3
    • Each member of the population has an equal chance of being included in the sample.
    • The sampling method relies on expert opinions to select the members of the sample.
    • Participants are selected based on specific characteristics important to the research.
    • Researchers subjectively choose participants based on their availability.
  4. Question 4
    • Non-probability sampling ensures every member of the population has an equal chance of selection.
    • Non-probability sampling is effective when there isn't a complete population list available.
    • Non-probability sampling is more expensive and time-consuming than probability sampling.
    • Non-probability sampling allows researchers to easily generalize results from the sample to the broader population.
  5. Question 5
    • The sample accurately reflects the general population's view on pet ownership.
    • It is unbiased because dog parks are public places accessible to everyone.
    • Individuals at a dog park are likely to be pet owners and have positive views on pet ownership.
    • Dog parks represent a diverse group of pet owners.
  6. Question 6
    • There are no issues; bias is a natural part of research sampling.
    • Biased samples always yield more accurate results.
    • The conclusions may not accurately represent the entire population.
    • The results can be generalized to the broader population.
  7. Question 7
    • Using subjects that are readily accessible to the researcher.
    • Selecting participants based on their specific characteristics that align with the research purpose.
    • Selecting subjects randomly from a list of the population.
    • Involves complex methods to ensure every individual in the population has an equal chance of being selected.
  8. Question 8
    • Purposive sampling
    • Convenience sampling
    • Simple random sampling
    • Stratified sampling
  9. Question 9
    • Simple random sampling
    • Purposive sampling
    • Convenience sampling
    • Systematic sampling
  10. Question 10
    • When it is impossible to divide the population into smaller groups.
    • When the population can be easily subdivided into several smaller groups based on shared characteristics.
    • When a quick and inexpensive sampling method is needed, regardless of population characteristics.
    • When the population is homogeneous and doesn't require stratification.
  11. Question 11
    • There is no difference; cluster sampling and simple random sampling are interchangeable.
    • Cluster sampling involves the researcher using readily avaliable subjects.
    • Cluster sampling selects groups of subjects randomly, while simple random sampling selects individual subjects randomly.
    • Cluster sampling involves selecting individual subjects randomly, while simple random sampling involves selecting groups of subjects.
  12. Question 12
    • Convenience sampling
    • Cluster sampling
    • Systematic sampling
    • Simple random sampling
  13. Question 13
    • It is an effective way to eliminate biases from the selection process.
    • It gives every participant an equal chance of being selected.
    • It relies on easily accessible participants, who may not represent the broader population.
    • It is typically more representative of the population than probability sampling.
  14. Question 14
    • When exploring new ideas or when a sampling frame isn't available.
    • When results need to be generalized to an entire population.
    • When randomness can be guaranteed in sample selection.
    • When every member of a population has an equal, non-zero chance of selection.
  15. Question 15
    • Students in the library are likely more academically inclined and may not represent all college students.
    • The sample represents a diverse range of students.
    • Library surveys guarantee a representative sample of all university students.
    • There is no bias, because the library is accessible to all students.
  16. Question 16
    • Stratified sampling is quicker and requires fewer resources.
    • Simple random sampling ensures representation from different subgroups within a population.
    • Stratified sampling ensures representation from different subgroups within a population.
    • Stratified sampling is less complex and easier.
  17. Question 17
    • Conveniently available subjects.
    • Only the first subject.
    • Individual subjects from the entire population.
    • Predefined groups or clusters of subjects.
  18. Question 18
    • The interval at which members are selected from the population.
    • The starting point for the sampling.
    • The number of clusters.
    • The specific characteristics of interest to the research.
  19. Question 19
    • 500
    • 50
    • 100
    • 200
  20. Question 20
    • It is usually 5% as long as it does not exceed 100.
    • Minimum sample size is usually 10% as long as it does not exceed 1000.
    • It is based on opinion of 10,000 people.
    • It has to be a minimum of 1000 people.
  21. Question 21
    • Using Published Tables.
    • Using sample size which is 10% of N.
    • Non probability sampling
    • A census for small population.
  22. Question 22
    • Using Non-Probability sampling
    • Take a census of the population.
    • Using slovin's formula
    • Take the opinion of 10,000 people.
  23. Question 23
    • Number of Samples
    • Population Size
    • Margin of Error
    • Sample Size
  24. Question 24
    • margin of error
    • sample size
    • The population size of the entire study.
    • number of samples
  25. Question 25
    • The sample size can either increase or decrease, depending on the population size.
    • The sample size decreases in proportion of the margin of error.
    • The sample size tends to increase.
    • The sample size remains the same, as the margin of error does not affect it.
  26. Question 26
    • The more samples we get, the better the research.
    • Having the least number of samples results in the best research
    • There is no relationship between the number of samples, and the quality of research.
    • Having the fewest number of samples results in the best research.
  27. Question 27
    • 500
    • 250
    • 1000
    • 2500
  28. Question 28
    • Selecting every 5th subject sequentially.
    • Selecting based on convinience.
    • Drawing names randomly from a pool.
    • Selecting based on some predetermined judgement.
List of Flashcards18 flashcards
  1. Card 1
    HintThe entire group you want to learn about.Memory TipThink 'entire' when you think 'population'.
  2. Card 2
    HintA smaller, manageable group from the population.Memory TipSamples are a 'portion' of the population.
  3. Card 3
    HintThink: Data, Economics, Time, Effort.Memory TipSampling saves resources.
  4. Card 4
    HintFair and random selection from the population.Memory TipEveryone has a shot.
  5. Card 5
    HintSelection isn't random or fair.Memory TipNot everyone has a shot.
  6. Card 6
    HintOver- or under-representing certain groups.Memory TipAvoid biased!
  7. Card 7
    HintEasy to reach participants.Memory TipEasy to reach.
  8. Card 8
    HintSelecting specific groups.Memory TipSelect with purpose.
  9. Card 9
    HintLike drawing names from a hat.Memory TipRandom selection ensures fairness.
  10. Card 10
    HintUse random numbers to select from Alphabetical list.Memory TipRandom numbers work.
  11. Card 11
    HintSRS applied to get samples from each stratumMemory TipThink in divided layers.
  12. Card 12
    HintGroups are used.Memory TipSamples by geographic group.
  13. Card 13
    HintEvery 'nth' number is chosen.Memory TipEvery nth number.
  14. Card 14
    HintIf you want to be a bit scientific, use a published table or use a formulaMemory TipSample size should be around 10%.
  15. Card 15
    HintSample sizeMemory Tipn equals sample size.
  16. Card 16
    HintPopulation sizeMemory TipN equals population size.
  17. Card 17
    HintThe margin of errorMemory Tipe equals error.
  18. Card 18
    HintUse a table or formula.Memory TipBeing sample size smart.

Footer

DiscordTiktokInstagramXFacebookSupportChrome

Tools

  • AI Quiz Generator
  • AI Flashcard Generator
  • AI Note Maker
  • AI Podcast Generator
  • AI Study Guide Maker
  • AI Tutor

Subjects

  • Medicine
  • Nursing
  • Dentistry
  • Law
  • Pharmacy

Resources

  • Blog
  • API
  • Help Center
  • Browse courses
  • Free Courses

Legal

  • Terms
  • Privacy
  • DMCA
  • DPA
  • Cookies

Company

  • About Us
  • Security
  • Refunds
  • Disclaimer
  • Acceptable Usage
English