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Fundamentals of Statistics 1: Basic Concepts :: Discrete and Continuous
If you have quantitative data, like time to complete a task or number of questions correct on a quiz, then the data can be either continuous or discrete. Discrete data have finite values, or buckets. You can count them. Continuous data technically have an infinite number of steps, which form a continuum.  The number of questions correct would be discrete--there are a finite and countable number of questions. Time to complete a task is continuous since it could take 178.8977687 seconds. Time forms an interval from 0 to infinity. You can usually tell the difference between discrete and continuous data because discrete usually can be preceded by "number of...". Here are some examples of discrete and continuous data.
 

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Discrete
:
  1. Number of children in a household
  2. Number of languages a person speaks
  3. Number of people sleeping in stats class
 

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Continuous
:
  1. Height of children
  2. Weight of cars
  3. Time to wake up in the morning
  4. Speed of the train




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