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# Continuous vs. discrete data

As described in Discrete vs. continuous random variables, continuous random variables can be measured in “infinite values” as opposed to discrete random variables that can be count in finite units.

## Continuous random variables explained

Continuous random variable can be height, weight, length, mass, time, amounts and many more. It is continuous because it is infinite.

For example, the values of height of 1-year old babies can be measured as to the whatever number of decimals depending on how much we wish to granulate the measure. One newborn can measure (cm) 50.265575644995254 and another newborn 50.26552622296244.

## Continuous random variables compared to discrete random variables

Using the figure from Discrete vs. continuous random variables, continuous and discrete variables can be visualized like this:

## Learning resources

Khan Academy: Discrete and continuous random variables

#### Carsten Grube

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##### ANOVA & the F-distribution

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