Sampling Methods Worksheet
Explore different sampling methods used in statistics, including simple random, stratified, systematic, and convenience sampling, with real-world examples and practice questions.
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Sampling Methods
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Read each question carefully and provide your answer in the space provided. For multiple-choice questions, circle the letter corresponding to your chosen answer.
1. Which sampling method involves dividing the population into homogeneous subgroups and then taking a simple random sample from each subgroup?
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Convenience Sampling
2. A researcher wants to survey students about their study habits. They select every 10th student from an alphabetical list of all students. What type of sampling method is this?
Cluster Sampling
Systematic Sampling
Simple Random Sampling
Stratified Sampling
3. In sampling, every member of the population has an equal chance of being selected.
4. A sample that is easily accessible and readily available to the researcher is known as a sample.
5. Stratified sampling is generally used when the population is homogeneous.
True
False
6. Bias is always present in systematic sampling.
True
False
7. Define what a 'population' is in the context of statistics.
8. Explain the main difference between probability and non-probability sampling methods.
9. A school principal wants to get feedback from parents about a new after-school program. The school has 500 parents. Describe how the principal could use each of the following sampling methods to select 50 parents for a survey:
a) Simple Random Sampling
b) Stratified Sampling (based on children's grade levels: Elementary, Middle, High School)
c) Systematic Sampling
d) Convenience Sampling