Ready to test your knowledge on sampling methods? Take this MCQ on Sampling and brush up on your sampling techniques.
Sampling is the process of selecting a subset from a population to gather representative data for analysis or Research.
| Types of Sampling | Description |
| Random Sampling | Every member of the population has an equal chance of being selected. |
| Stratified Sampling | Population is divided into subgroups, and samples are taken from each subgroup. |
| Systematic Sampling | Every nth member of the population is selected after a random starting point. |
| Convenience Sampling | Individuals are chosen based on ease of access or availability. |
| Cluster Sampling | Population is divided into clusters, and entire clusters are randomly selected. |
| Snowball Sampling | Existing participants recruit new participants, creating a chain-like effect. |
MCQ on Sampling
1. What is sampling in statistics?
a. Sorting data
b. Selecting a subset of individuals from a population
c. Calculating mean and standard deviation
d. None of the above
Answer: b. Selecting a subset of individuals from a population
2. What is the purpose of sampling in research?
a. To increase the size of the population
b. To reduce the accuracy of the study
c. To make data collection more time-consuming
d. To draw conclusions about a population based on a smaller representative sample
Answer: d. To draw conclusions about a population based on a smaller representative sample
3. Which of the following is an advantage of random sampling?
a. Convenient and cost-effective
b. Provides a representative sample
c. Allows for easy generalization
d. Biased results
Answer: b. Provides a representative sample
4. What is stratified sampling?
a. Randomly selecting individuals from the entire population
b. Dividing the population into subgroups and then randomly selecting from each subgroup
c. Selecting individuals who are easy to reach
d. Selecting individuals based on personal judgment
Answer: b. Dividing the population into subgroups and then randomly selecting from each subgroup
5. In systematic sampling, how are individuals selected?
a. Randomly
b. Based on personal judgment
c. Every nth individual from a list
d. Only individuals with certain characteristics
Answer: c. Every nth individual from a list
6. What is non-probability sampling?
a. A sampling method that ensures each individual has an equal chance of being selected
b. A sampling method that does not rely on random selection
c. A sampling method suitable for large populations only
d. A sampling method based on personal preferences
Answer: b. A sampling method that does not rely on random selection
7. Which of the following is a potential drawback of convenience sampling?
a. Bias in the sample
b. Increased representativeness
c. Cost-effectiveness
d. Easy generalization to the entire population
Answer: a. Bias in the sample
8. What is the sampling error?
a. The error introduced by selecting a sample instead of the entire population
b. The error introduced by random sampling
c. The error introduced during data analysis
d. The error introduced by biased sampling
Answer: a. The error introduced by selecting a sample instead of the entire population
9. What is the purpose of a pilot study in sampling?
a. To collect data from the entire population
b. To test the feasibility of the research design and identify potential issues
c. To conduct a large-scale survey
d. To generalize findings to a broader context
Answer: b. To test the feasibility of the research design and identify potential issues
10. What is the sampling frame in the context of sampling methodology?
a. The list of all individuals in the population from which the sample will be drawn
b. The sample size
c. The statistical technique used for analysis
d. The average of the sample data
Answer: a. The list of all individuals in the population from which the sample will be drawn