# Ch 36: Data Distribution Overview

For an overview of data distribution, take a look at this collection of fun math lessons and quizzes. The chapter enables you to review data distribution at any time, which can help you quickly study for exams, complete homework assignments and catch up in class.

## Data Distribution Overview - Chapter Summary

Get a high-level overview of data distribution concepts with this self-paced and mobile-friendly math chapter. Inside the chapter, you'll find simple video lessons that define a variety of terms related to data set distribution, including center, spread, maximums, minimums, outliers, quartiles and more. You'll also see how shape, symmetry and skewness can visually represent a data set. When you're finished working through the chapter, you'll be equipped to:

• Define the center in a data set
• Evaluate data set visual representations
• Differentiate between mean and median
• Recognize examples of spread in data sets
• Identify a data set's maximums, minimums and outliers
• Formulate quartiles and the interquartile range
• Calculate standard deviation, mean, median, mode and range
• Understand how linear transformations affect spread and measures of center

In addition to the video and text lessons, this chapter contains self-assessment quizzes to help reinforce your understanding of these data distribution concepts. If you have any questions, you can easily submit them to our expert instructors online. Your progress is tracked on your course dashboard, and to make your studying experience flexible, we've made the chapter available at any time of day or night.

10 Lessons in Chapter 36: Data Distribution Overview
Test your knowledge with a 30-question chapter practice test
Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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