Difference between statistical description and inference
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A population is a defined group of people or objects, while a sample is a smaller subset of a population. When you have access to an entire population, you can use statistics to directly describe characteristics of that population. However, when only a sample is available, you can use statistics to describe the sample and then infer that the population has similar characteristics.
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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