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Questions and Answers
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.
True
Which of the following is NOT a basic type of probability sampling?
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 ______.
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Which sampling method allows members of the population to be selected more than once?
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What is multistage sampling?
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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?
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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.
