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Data Sampling and Uses
#1
Selecting an individual group from a population to study the whole population.

 
Especially when dealing with larger datasets, data analysis cannot be performed on the entire volume of data at once. It becomes essential to collect certain data samples that may be analysed and used to represent the entire population. While doing this, it is imperative to carefully select sample data from the enormous data collection that accurately reflects the complete dataset.
 
Sampling - 2 broad categories: 
  • Probability sampling - Random selection techniques are used to select the sample.
  • Non-probability sampling - Non-random selection techniques based on certain criteria are used to select the sample.
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