Sampling
Sampling is a technique used in statistics to select a subset of individuals from a larger population in order to draw conclusions about the population as a whole. It is often impractical or impossible to study an entire population, so researchers use sampling to make inferences based on the subset that is studied.
There are many different types of sampling methods, including random sampling, stratified sampling, and cluster sampling. Each method has its own advantages and disadvantages, and the choice of sampling method depends on the research question and the characteristics of the population being studied.
For example, in random sampling, every individual in the population has an equal chance of being selected, which helps to reduce bias and ensure that the sample is representative of the population. On the other hand, stratified sampling involves dividing the population into subgroups based on certain characteristics and then selecting a sample from each subgroup, which can help ensure that all subgroups are adequately represented in the sample.
Sampling is an important tool in statistics and research, and understanding the different sampling methods is crucial for drawing accurate and reliable conclusions from data.
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