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Non Probability Sampling Quiz 22 (10 MCQs)

This set of multiple-choice questions evaluates understanding of non-probability sampling techniques, including convenience sampling, quota sampling, and accessibility-based selection. It assesses knowledge of sample characteristics, selection bias, and the differences between probability and non-probability sampling methods.

Quiz Instructions

Select an option to see the correct answer instantly.

1. Which of the following best describes quota sampling?

Correct Answer: Correct answer is: (B) Participants are selected to meet a predefined proportion.

Exam Relevance: AP Statistics, GRE, GMAT, Research Methods Exams

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher ensures that certain subgroups are represented in the sample according to a predefined proportion. This method is often used when the researcher wants to ensure that specific characteristics are adequately represented in the sample.

Common Mistakes: A common misunderstanding is that quota sampling involves random selection within each subgroup, but it does not. The selection is based on meeting the predefined proportion, not on random chance.

Explanations: Quota sampling involves selecting participants to meet a predefined proportion, which aligns with the definition provided in option B. This method ensures that specific subgroups are represented in the sample according to predetermined criteria, but it does not guarantee random selection within those subgroups.

Option Analysis:

Option A: This option is incorrect because quota sampling does not ensure random representation within each subgroup. It focuses on meeting predefined proportions.
Option B: This option is correct because quota sampling involves selecting participants to meet a predefined proportion, ensuring that specific subgroups are represented in the sample.
Option C: This option is incorrect because quota sampling does not ensure that every individual has an equal chance of selection. The focus is on meeting predefined proportions, not on random selection.
Option D: This option is incorrect because option B is the correct description of quota sampling.

2. Which Sampling technique gathers data in a process that does not give all the individuals in the population equal chances of being selected?

Correct Answer: Correct answer is: (C) Non Probability Sampling.

Exam Relevance: AP Statistics, GRE, GMAT, Research Methods Exams

Difficulty: Moderate

Concept notes: Non Probability Sampling is a sampling technique where not all individuals in the population have an equal chance of being selected. This contrasts with Probability Sampling, where each individual has a known, non-zero probability of being chosen.

Common Mistakes: A common misunderstanding is that all sampling techniques provide equal chances of selection for all individuals, which is not true for Non Probability Sampling.

Explanations: Non Probability Sampling techniques, such as convenience sampling, purposive sampling, and quota sampling, do not ensure that every individual in the population has an equal chance of being selected. This is because the selection process is often based on convenience, judgment, or specific quotas rather than random selection.

Option Analysis:

Option A: Random Sampling ensures that each individual in the population has an equal chance of being selected, which is not the case for Non Probability Sampling.
Option B: Probability Sampling includes techniques where each individual has a known, non-zero probability of being selected, which is not true for Non Probability Sampling.
Option C: Non Probability Sampling does not give all individuals in the population equal chances of being selected, making it the correct answer.
Option D: Sampling is a broad term that includes both Probability and Non Probability Sampling techniques, so it is not specific enough to be the correct answer.

3. This is a type of Non Probability Sampling wherein the researcher selects subject based on the ease of accessibility?

Correct Answer: Correct answer is: (B) Convenience Sampling.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

Concept notes: Convenience sampling is a type of non-probability sampling where the researcher selects subjects based on their ease of accessibility.

Common Mistakes: A common misunderstanding is confusing convenience sampling with other non-probability sampling methods, such as judgmental sampling, which relies on the researcher's discretion rather than ease of access.

Explanations: Convenience sampling is used when the researcher selects participants based on their availability and ease of access. This method is often used when the researcher needs to gather data quickly and does not have the resources to use more rigorous sampling methods. The key characteristic of convenience sampling is that it prioritizes convenience over representativeness.

Option Analysis:

Option A: Judgmental Sampling involves selecting participants based on the researcher's judgment or expertise, not on ease of access.
Option B: Convenience Sampling involves selecting participants based on their ease of access, which matches the description in the question.
Option C: Quota Sampling involves selecting participants to meet certain quotas or proportions, not based on ease of access.
Option D: Snowball Sampling involves recruiting participants through referrals from initial subjects, not based on ease of access.

4. A researcher wants to run a true experiment but insists she will not use a random sample. You could safely say that

Correct Answer: Correct answer is: (B) She could accomplish this using systematic sampling.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Moderate

Concept notes: Systematic sampling is a type of non-probability sampling where elements are chosen from a population at regular intervals. It does not require a completely random selection process, but it can still provide a representative sample under certain conditions.

Common Mistakes: A common misunderstanding is that true experiments require a random sample. However, systematic sampling can be used to approximate a random sample, especially when the population is large and ordered in a way that does not introduce bias.

Explanations: Systematic sampling involves selecting every nth element from a list or population. This method can be used in a true experiment to approximate randomization without the need for a completely random sample. While it is not true random sampling, it can still provide a representative sample if the population is ordered in a way that does not introduce bias.

Option Analysis:

Option A: This option is incorrect because systematic sampling can be used to approximate randomization in a true experiment, even without a completely random sample.
Option B: This option is correct because systematic sampling is a non-probability sampling method that can be used to approximate randomization in a true experiment.

5. Quota sampling is part of .....?

Correct Answer: Correct answer is: (B) Nonprobability.

Exam Relevance: AP Statistics, GRE, GMAT, Psychology exams

Difficulty: Moderate

Concept notes: Quota sampling is a nonprobability sampling technique where the researcher ensures that certain characteristics are represented in the sample in proportion to their prevalence in the population.

Common Mistakes: A common misunderstanding is that quota sampling involves random selection, which it does not. Quota sampling relies on the researcher's judgment to select participants based on predefined quotas.

Explanations: Quota sampling is part of nonprobability sampling because it does not use random selection methods. Instead, the researcher selects participants based on specific quotas, ensuring that the sample reflects certain characteristics of the population. This method does not provide the same level of statistical reliability as probability sampling methods, which is why it falls under the nonprobability category.

Option Analysis:

Option A: Probability sampling involves random selection, which is not the case in quota sampling. Therefore, this option is incorrect.
Option B: Quota sampling is a nonprobability sampling method because it does not use random selection. This option is correct.

6. In this type of qualitative sampling, it is decided prior to the start of research how many people to include in the sample and which characteristics they should have.

Correct Answer: Correct answer is: (A) Quota.

Exam Relevance: Research Methods, Statistics, Social Science Research

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher decides in advance how many people with specific characteristics should be included in the sample.

Common Mistakes: A common misunderstanding is confusing quota sampling with purposive sampling, which involves selecting participants based on specific criteria but without predefined quotas.

Explanations: In quota sampling, the researcher predefines the number of participants with specific characteristics to be included in the sample. This ensures that the sample reflects certain proportions of the population based on the characteristics of interest. This method is different from other non-probability sampling techniques like purposive or snowball sampling, which do not involve predefined quotas.

Option Analysis:

Option A: Quota sampling involves predefining the number of participants with specific characteristics, which matches the description in the question.
Option B: Purposive sampling involves selecting participants based on specific criteria but does not involve predefined quotas.
Option C: Snowball sampling involves recruiting participants through referrals from initial participants and does not involve predefined quotas.
Option D: This option is incorrect as the correct answer is quota sampling.

Mnemonic: Quota: Quantity, Quality, Quotas

7. In a survey of hospital out-patients' views about the quality of service they receive from a hospital, researchers wanted to canvas an equal amount of women and men. During one particular week 200 women and 200 men were asked to fill in a questionnaire. What method of sampling is this?

Correct Answer: Correct answer is: (B) Quota sampling.

Exam Relevance: AP Statistics, GRE, MCAT

Difficulty: Moderate

Concept notes: Quota sampling is a non-probability sampling technique where the researcher ensures that certain characteristics are represented in the sample in proportion to their prevalence in the population. In this case, the researchers aimed to have an equal number of women and men in the sample.

Common Mistakes: A common misunderstanding is confusing quota sampling with stratified sampling. While both methods involve dividing the population into subgroups, quota sampling does not use random selection within those subgroups.

Explanations: The researchers aimed to have an equal number of women and men in the sample, which aligns with the definition of quota sampling. In quota sampling, the researcher sets a quota for each subgroup (in this case, women and men) and continues to sample until the quota is met. This ensures that the sample reflects the desired proportions of the population.

Option Analysis:

Option A: Cluster sampling involves dividing the population into clusters and randomly selecting entire clusters. This does not apply here as the sample was not selected based on clusters.
Option B: Quota sampling is the correct method as the researchers aimed to have an equal number of women and men in the sample.
Option C: Expert sampling involves selecting individuals based on their expertise, which is not relevant to this scenario.
Option D: Systematic sampling involves selecting every nth individual from a list, which is not the method used here.

Mnemonic: Quota: Quotas for each group.

8. As a researcher, you want to know the plans of graduating senior highschool students. You ask all by-passers to participate in your research.Which type of sampling are you using?

Correct Answer: Correct answer is: (A) Convenience.

Exam Relevance: AP Statistics, GRE, MCAT, GMAT

Difficulty: Easy

Concept notes: Convenience sampling involves selecting individuals who are easiest to reach or most readily available. This method is often used when the researcher has limited time or resources.

Common Mistakes: A common misunderstanding is that convenience sampling is a random method. However, it is not random and can introduce significant bias.

Explanations: The researcher is asking all by-passers to participate in the research, which means they are selecting participants based on their availability and ease of access. This aligns with the definition of convenience sampling, where the sample is chosen based on convenience rather than a systematic or random method.

Option Analysis:

Option A: Correct. The researcher is using convenience sampling by asking all by-passers to participate.
Option B: Incorrect. Purposive sampling involves selecting participants based on specific characteristics or criteria, which is not the case here.
Option C: Incorrect. Stratified sampling involves dividing the population into subgroups and then randomly selecting from each subgroup, which is not described in the scenario.
Option D: Incorrect. Systematic sampling involves selecting every nth individual from a list or sequence, which is not described in the scenario.

9. A statistics professor surveys all of her students to obtain sample data consisting of the number of credit cards each student possesses.

Correct Answer: Correct answer is: (C) Convenience sampling.

Exam Relevance: AP Statistics, GRE, GMAT

Difficulty: Moderate

Concept notes: Convenience sampling involves selecting individuals who are easiest to reach or most readily available. This method is often used when the researcher has limited time or resources.

Common Mistakes: A common misunderstanding is to confuse convenience sampling with random sampling, where every individual has an equal chance of being selected.

Explanations: The professor surveys all of her students, which is a readily available group. This method does not involve random selection or any specific sampling technique beyond choosing the most convenient group. Therefore, it is classified as convenience sampling.

Option Analysis:

Option A: Random sampling involves selecting individuals randomly, ensuring each individual has an equal chance of being selected. This is not the case here.
Option B: Systematic sampling involves selecting individuals at regular intervals from a list. This is not the case here.
Option C: Convenience sampling involves selecting individuals who are easiest to reach or most readily available. This fits the scenario described.
Option D: Stratified sampling involves dividing the population into subgroups and then randomly selecting from each subgroup. This is not the case here.
Option E: Cluster sampling involves dividing the population into clusters and then randomly selecting entire clusters. This is not the case here.

10. A group of researchers, decided to select their respondents because they are the most accessible. What type of non-probability sampling did they exercise?

Correct Answer: Correct answer is: (B) Convenience Sampling.

Exam Relevance: AP Statistics, GRE, MCAT, Research Methods Exams

Difficulty: Easy

Concept notes: Convenience sampling is a non-probability sampling technique where participants are selected based on their availability and ease of access.

Common Mistakes: A common misunderstanding is confusing convenience sampling with judgmental sampling, where the researcher selects participants based on their judgment of who would be most suitable for the study.

Explanations: The researchers selected their respondents because they were the most accessible, which aligns with the definition of convenience sampling. This method is often used when the goal is to gather data quickly and easily, without the need for a more rigorous selection process.

Option Analysis:

Option A: Judgmental Sampling involves selecting participants based on the researcher's judgment, not on their accessibility.
Option B: Convenience Sampling involves selecting participants based on their ease of access and availability.
Option C: Quota Sampling involves selecting participants to meet specific quotas, not based on accessibility.
Option D: Snowball Sampling involves participants recruiting other participants, not based on accessibility.

Frequently Asked Questions

What is non-probability sampling?

Non-probability sampling is a sampling technique where the selection of participants is based on factors other than random chance, such as convenience or accessibility.

What is the main advantage of convenience sampling?

The main advantage of convenience sampling is its ease of access and the speed at which data can be collected, making it a practical choice for preliminary research.

What is quota sampling?

Quota sampling involves selecting participants based on predefined quotas to ensure that certain characteristics of the population are represented in the sample.

How does non-probability sampling differ from probability sampling?

Non-probability sampling does not provide equal selection chances for all members of the population, whereas probability sampling ensures that each member has a known, non-zero chance of being selected.

What is a potential drawback of non-probability sampling?

A potential drawback of non-probability sampling is that it can introduce bias, such as availability bias, which may affect the representativeness of the sample.

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