Ch 36: Data Distribution Overview

About This Chapter

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
What is the Center in a Data Set? - Definition & Options

1. What is the Center in a Data Set? - Definition & Options

Finding the center in a data set can sometimes be a little confusing. This lesson will help you determine the correct method for finding the center in a data set, and when you are finished, test your knowledge with a short quiz!

How to Calculate Mean, Median, Mode & Range

2. How to Calculate Mean, Median, Mode & Range

Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.

Calculating the Mean, Median, Mode & Range: Practice Problems

3. Calculating the Mean, Median, Mode & Range: Practice Problems

Calculating the mean, median, mode, and range of a data set is a fundamental part of learning statistics. Use this video to practice your skills and then test your knowledge with a short quiz.

Visual Representations of a Data Set: Shape, Symmetry & Skewness

4. Visual Representations of a Data Set: Shape, Symmetry & Skewness

Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.

The Mean vs the Median: Differences & Uses

5. The Mean vs the Median: Differences & Uses

Most people can find the mean and the median of a data set, but do you know when to use the mean and when to use the median to describe the information?

Spread in Data Sets: Definition & Example

6. Spread in Data Sets: Definition & Example

Identifying the spread in data sets is a very important part of statistics. You can do this several ways, but the most common methods are through range, interquartile range, and variance.

Maximums, Minimums & Outliers in a Data Set

7. Maximums, Minimums & Outliers in a Data Set

When analyzing data sets, the first thing to identify is the maximums, minimums, and outliers. This lesson will help you learn how to identify these important items.

Quartiles & the Interquartile Range: Definition, Formulate & Examples

8. Quartiles & the Interquartile Range: Definition, Formulate & Examples

Quartiles and the interquartile range can be used to group and analyze data sets. In this lesson, learn the definition and steps for finding the quartiles and interquartile range for a given data set.

Calculating the Standard Deviation

9. Calculating the Standard Deviation

In this lesson, we will examine the meaning and process of calculating the standard deviation of a data set. Standard deviation can help to determine if the data set is a normal distribution.

The Effect of Linear Transformations on Measures of Center & Spread

10. The Effect of Linear Transformations on Measures of Center & Spread

Linear transformations can be a great way to manipulate and analyze data. This lesson will show you how those transformations affect the center and spread of data.

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.
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