Types of Data
We've developed some skills; now, let's delve deeper into the data types in statistics. Take a look at the image:
Let's now consider a sample of people with two variables:
- number of teeth;
- height.
The number of teeth is considered a discrete variable because teeth are counted in whole numbers, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, countable number of teeth, and the count is a distinct and separate value.
In contrast, height is considered a continuous variable because it can take on any value within a certain range, and there is an infinite number of values in the interval between any two values of heights.
Everything was clear?
Course Content
Learning Statistics with Python
2. Mean, Median and Mode with Python
4. Covariance vs Correlation
Learning Statistics with Python
Types of Data
We've developed some skills; now, let's delve deeper into the data types in statistics. Take a look at the image:
Let's now consider a sample of people with two variables:
- number of teeth;
- height.
The number of teeth is considered a discrete variable because teeth are counted in whole numbers, and you cannot have a fractional or decimal part of a tooth. Each individual has a specific, countable number of teeth, and the count is a distinct and separate value.
In contrast, height is considered a continuous variable because it can take on any value within a certain range, and there is an infinite number of values in the interval between any two values of heights.
Everything was clear?
