Learn about the points that don't fit the pattern in a scatter plot with this article. Site also includes practice questions to test your knowledge of the topic.

Practice some nifty new vocab for describing data distributions. Students receive immediate feedback and have the opportunity to try questions repeatedly, watch a video or receive hints.

Description and example of a scatter plot.

This site discusses the topic of removing outliers and how the configurations are done.

Students will understand key concepts of data analysis and their graphic representations. Students will construct and interpret data tables, line plots, box-and-whisker plots and stem-and-leaf plots, scatterplots with line of best fit,...

Enhance students' understanding of various descriptive measures with a visual interpretation of a mean, median, outlier, and the concept of distance-to-mean.

This task looks at a possible relationship between the weight of an animal's body and the weight of its brain. Students make a scatter plot of data, look for outliers, make a second scatter plot without the outliers, and describe the...

This activity explores what happens to measures of center and spread when outliers are introduced and when sample size varies.

Students learn about the concept of interpreting raw data and finding outliers by exploring a tutorial. They can then test their knowledge by taking a ten question assessment that increases in difficulty as they correctly answer questions.

[Free Registration/Login may be required to access all resource tools.] This Concept covers the effects of outliers and a change in units on box-and-whisker plots.

Fifteen problems presented on the topics: mean, median, mode, outliers and graphing statistics. They are given with each step to the solution cleverly revealed one at a time. You can work each step of the problem then click the "View...

This lesson looks at how to recognize patterns in a data display by examining the shape of a graph, the center, the spread, and unusual features such as outliers. Includes video. [11:16]

Students can create box plots for either built-in or user-specified data as well as experiment with outliers. User may choose to use or not use the median for calculation of interquartile range.

[Free Registration/Login may be required to access all resource tools.] Using box-and-whisker plots to understand and interpret data.

The author utilizes a line plot to demonstrate what an "outlier" is, what "clusters" are, and what "gaps" are.

Students analyze data gathered from sensors and develop filtering algorithms for anomalies and outliers, then use these algorithms to make decisions on sensor data as it is being collected.

An explanation of scatter plots followed by examples of the many different kinds of scatter plots.

Students learn about box-and-whisker plots. The interactive box plot allows the user to explore maximum, minimum, median, upper quartile, lower quartile, and outliers.

In this activity, students will be asked to use the "Wildfire deaths" data to determine a linear model. They will examine the affect an outlier has on the model and compare methods to determine the best model.

This set contains statistics questions comparing distributions of univariate data. The student is asked to note the differences between distributions regarding center, shape, spread, and existence of outliers.

Students survey other students (numerical and non numerical data) and calculate measures of central tendency (if possible) of data and make regular box-an-whisker plots and outlier box-and-whisker plots to analyze the data.

Lesson examples that review how to calculate measures of variation such as range and outliers.

Explore the bell-shaped curve and how to calculate a z score. Additional links provided to further knowledge on outliers.

In this lesson on representation data, students explore how to make dot plots, histograms, and box plots and learn about outliers in a data set.