If you're seeing this message, it means we're having trouble loading external resources on our website.

If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked.

# Outliers in scatter plots

Learn what an outlier is and how to find one!

## What are outliers in scatter plots?

Scatter plots often have a pattern. We call a data point an outlier if it doesn't fit the pattern.
Consider the scatter plot above, which shows data for students on a backpacking trip. (Each point represents a student.)
Notice how two of the points don't fit the pattern very well. These points have been labeled Brad and Sharon, which are the names of the students they represent.
Sharon could be considered an outlier because she is carrying a much heavier backpack than the pattern predicts.
Brad could be considered an outlier because he is carrying a much lighter backpack than the pattern predicts.
Key idea: There is no special rule that tells us whether or not a point is an outlier in a scatter plot. When doing more advanced statistics, it may become helpful to invent a precise definition of "outlier", but we don't need that yet.

## Practice problems

To fully wrap our minds around why certain data points might be considered outliers, let's try a couple of practice problems.

### Problem 1: Computer shopping

Michelle was researching different computers to buy for college. She looked up the prices and quality ratings for a sample of computers. Her data is shown in the scatter plot to the right, where each point is a computer.
Michele wants to buy a computer whose quality rating is far higher than the pattern would predict based on its price.
Which of the labeled points represents a computer that Michele wants to buy?