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Probability and Statistics

Probability and Statistics

Univariate v. Bivariate Data

Before we start analyzing, we need to make one more distinction between different types of data. Then our data can take a seat on the couch and we'll start getting to the root of its daddy issues.

Single-variable or univariate data refers to data where we're only observing one aspect of something at a time. With single-variable data, we can put all our observations into a list of numbers.

Sample Problem

We take a group of people, measure their heights, and get this list of heights:

5'2'', 5'4'', 6'1'', 5'9'', 5'3''.

This is univariate data, since we're only observing one aspect (the height) of each person.

With two-variable, or bivariate data, we observe two aspects. We can put our observations into a table. The columns-and-rows kind, not the upending-and-throwing-across-the-room-in-a-rage kind.

Sample Problem

We take a group of people, measure their heights and weights, and get the following information:

This is bivariate data, since we have observations about two aspects (the height and weight) of each person.

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