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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 discretethere 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
:
Number of children in a household
Number of languages a person speaks
Number of people sleeping in stats class
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Continuous
:
Height of children
Weight of cars
Time to wake up in the morning
Speed of the train
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May 28, 2014  Richmond Kudjordji wrote:
Good
April 26, 2014  Jason wrote:
The weight of a car would not be considered discrete even though it doesn't change  the reason is that you are measuring, not counting. Perhaps the context changes whether something is discrete or continuous sometimes? Sugar for example. The weight of sugar is continuous, but sugar could be discrete (you could count grains!)
January 13, 2014  James wrote:
Mahesh, I too wondered that, but I figure because things like fuel levels, tires, contents inside the car e.t.c are constantly changing. Thus the weight is continuously changing.
January 2, 2014  Mahesh wrote:
Examples of discrete and continous was good, but i cant get weight of cars example of continous.
May 10, 2012  @ wrote:
Esta muy bien pero deberían de poner un dibujo de las gráficas así se entendería mejor .
October 31, 2011  Usman Ibrahim wrote:
Nice indeed.
October 31, 2011  Usman Ibrahim wrote:
Nice indeed.