Review:
Sampling Theory
overall review score: 4.5
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score is between 0 and 5
Sampling theory is a branch of statistics that deals with the selection of a subset of individuals from within a population to estimate characteristics of the whole population.
Key Features
- Random sampling
- Stratified sampling
- Cluster sampling
- Systematic sampling
- Sampling error
- Sampling bias
Pros
- Provides a systematic method for selecting samples from a population
- Allows for making inferences about a population based on sample data
- Helps in reducing costs and time in data collection
Cons
- Sampling errors can occur affecting the accuracy of estimates
- Requires knowledge and expertise to properly implement and interpret