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A population is everyone in a defined group (e.g., 350
million American or all female real-estate lawyers in Las
Vegas). If you have access to the entire population you use
statistics to DESCRIBE what is happening with that group.
A sample is a smaller representative group from a
population. When you describe what is happening with that
group you then INFER that that is happening with the entire
population.
Central Tendency, Spread, or Symmetry?
Sample of
100
Americans
Population of 350 million
Americans
Population of 350 million
Americans
Describe
Describe

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Difference between statistical description and inference

  • 1. A population is everyone in a defined group (e.g., 350 million American or all female real-estate lawyers in Las Vegas). If you have access to the entire population you use statistics to DESCRIBE what is happening with that group. A sample is a smaller representative group from a population. When you describe what is happening with that group you then INFER that that is happening with the entire population. Central Tendency, Spread, or Symmetry? Sample of 100 Americans Population of 350 million Americans Population of 350 million Americans Describe Describe