Sampling Methods Worksheet
Explore different sampling methods used in statistics, including their definitions, applications, advantages, and disadvantages, for Grade 11 mathematics.
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Sampling Methods Worksheet
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Read each question carefully and provide your best answer. This worksheet covers various sampling methods in statistics.
1. Which sampling method divides the population into homogeneous subgroups and then takes a simple random sample from each subgroup?
Simple Random Sampling
Stratified Sampling
Cluster Sampling
Systematic Sampling
2. In which sampling method is every nth member of the population selected?
Convenience Sampling
Snowball Sampling
Systematic Sampling
Quota Sampling
1. A sample is a subset of a population selected to represent the entire population.
2. When every member of the population has an equal chance of being selected, it is called sampling.
3. Sampling bias occurs when the sample is not of the population.
1. Convenience sampling is a type of probability sampling.
True
False
2. Stratified sampling guarantees that all subgroups are represented in the sample.
True
False
1. Explain the difference between probability sampling and non-probability sampling.
2. Describe a scenario where cluster sampling would be more appropriate than stratified sampling.
Match each sampling method with its description.
1. Simple Random Sampling
a. Dividing the population into clusters and randomly selecting entire clusters.
2. Stratified Sampling
b. Selecting individuals from the population based on their easy accessibility.
3. Cluster Sampling
c. Every member of the population has an equal chance of being selected.
4. Convenience Sampling
d. Dividing the population into homogeneous subgroups and sampling from each.