You currently have JavaScript disabled on this browser/device. JavaScript must be enabled in order for this website to function properly.

ZingPath: Measures of Central Tendency

Line Plot

Searching for

Measures of Central Tendency

Learn in a way your textbook can't show you.
Explore the full path to learning Measures of Central Tendency

Lesson Focus

Line Plot

Math Foundations

Learning Made Easy

You will collect and represent data on a line plot.

Over 1,200 Lessons: Get a Free Trial | Enroll Today

Now You Know

After completing this tutorial, you will be able to complete the following:

  • Collect and represent data on a line plot.
  • Identify the range, mode, outliers, and data clusters or gaps of a set data displayed on a line plot.

Everything You'll Have Covered

The Activity Object examines the real-life scenario of taking a survey. Be sure that students are familiar with the concept of a survey. Many examples of surveys can be found in magazines and newspapers. Bring in a few examples to share with the students prior to presenting the Activity Object. Students are introduced to data collection and analysis with a focus on key vocabulary such as, range, mode, outliers, gap, and cluster. After completing the Activity Object, some students may require more exposure to these terms.

Line plot: a graph that shows the frequency of data along a number line

Cluster: the interval of points grouped closely together

The cluster of the above data is 6-9.

Gap: the largest interval where no data occurs

The gap of the above data is 9-15.

Mode: the most repeated data point

The mode of the above data is 8.

Outlier: the point(s) of data relatively isolated from the rest of the data

The outlier of the above data is 15.

Range: the difference between the greatest and least values in a set of data

The range of the above data is 14 (15-1).

Tutorial Details

Approximate Time 20 Minutes
Pre-requisite Concepts Students should be familiar with measures of central tendency.
Course Math Foundations
Type of Tutorial Concept Development
Key Vocabulary cluster, data, gap