# 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

Freelance Data Analyst

##### Normal distribution

##### Two-sample inference

##### Confidence intervals

##### Simple linear regression, fundamentals

##### ANOVA & the F-distribution

+34 616 71 29 85

Call me

Spain: Ctra. 404, km 2, 29100 Coín, Malaga

...........

Denmark: c/o Musvitvej 4, 3660 Stenløse

**Drop me a line**

*What are you working on just now? Can I help you, and can you help me? *

**About me**

Learning statistics. Doing statistics. Freelance since 2005. Dane. Living in Spain. With my Spanish wife and two children.

**Connect with me**

**What they say**

20 years in sales, analysis, journalism and startups. See what my customers and partners say about me.

## 0 Comments