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Questions and Answers
What is a sample survey?
What is a sample survey?
A method of systematically gathering information on a segment of the population.
Probability sampling ensures that every individual in the population has an equal chance of being selected.
Probability sampling ensures that every individual in the population has an equal chance of being selected.
True
Which of the following is NOT a basic type of probability sampling?
Which of the following is NOT a basic type of probability sampling?
Match the types of sampling with their definitions:
Match the types of sampling with their definitions:
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In a sample survey, the fraction of the population being studied is called a ______.
In a sample survey, the fraction of the population being studied is called a ______.
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Which sampling method allows members of the population to be selected more than once?
Which sampling method allows members of the population to be selected more than once?
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What is multistage sampling?
What is multistage sampling?
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Non-probability sampling means every individual in the population has an equal chance of being selected.
Non-probability sampling means every individual in the population has an equal chance of being selected.
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What is the purpose of presenting data after research?
What is the purpose of presenting data after research?
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When presenting data, figures from one to ______ should be spelled out.
When presenting data, figures from one to ______ should be spelled out.
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Study Notes
Introduction to Sampling
- A sample survey is a way to collect information about a segment of a population to learn about the whole population.
- Probability sampling is a method where each member of a population has a known chance of being selected, ensuring representativeness.
- Non-probability sampling is a method where selection is not based on known probability, meaning not everyone has an equal chance of selection.
Probability Sampling Methods
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Simple Random Sampling involves choosing subsets of a population where each subset has an equal chance of selection.
- SRS without replacement (SRSWOR) means a member can only be selected once.
- SRS with replacement (SRSWR) means a member can be selected multiple times.
- Stratified Sampling divides the population into subgroups called strata and then samples from each stratum.
- Systematic Sampling involves selecting every kth element after a random start, where k is the sampling interval.
- Cluster Sampling divides the population into clusters and selects a sample of clusters, including all elements within those chosen clusters.
- Multistage Sampling involves multiple stages of sampling, often used for geographically dispersed populations.
Non-Probability Sampling Methods
- Haphazard/Convenience Sampling uses readily available or easy to access individuals.
- Judgment/Purposive Sampling relies on the researcher's judgment to select individuals deemed representative of the population.
- Quota Sampling sets quotas for different categories of individuals (e.g., age, gender) and then selects individuals to meet those quotas.
Presentation of Data
- Textual presentation uses descriptive text to convey important figures and their meaning.
- It focuses on key information and uses words to explain the data.
- Textual presentation aims to clarify, emphasize, and communicate the implications behind data presented in tables and charts.
- When writing textual data, begin sentences with words, not numbers.
- Use words for numbers one to nine, and numerals for numbers ten and above.
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Description
This quiz explores the fundamentals of sampling methods used in research, focusing on both probability and non-probability sampling techniques. It delves into specific methods such as simple random sampling, stratified sampling, and systematic sampling. Test your knowledge on how these methodologies contribute to effective data collection.
