Ch 11: Data Display Methods

About This Chapter

The short and engaging video lessons in this chapter can boost your understanding of data display methods. Use the lessons to gain greater insight into histograms, scatterplots, box plots and frequency distributions.

Data Display Methods - Chapter Summary

Watch this chapter's videos to ensure you have a good grasp of ways to display data. Fun lessons explore data display types and processes and offer easy-to-understand examples. After reviewing the lessons, you will have the knowledge to:

  • Define and identify types of frequency distributions
  • Demonstrate the use of frequency and relative frequency tables
  • Show how to create and read stem and leaf displays
  • Create and interpret histograms, scatterplots and box plots
  • Share the meaning and use of the pie chart

Each lesson is available as a video and full transcript. Watch the videos to learn about data display methods with help from fun visual and audio effects, and print and read the full transcripts while benefiting from access to helpful vocabulary words. With the lessons are interactive quizzes you can use to assess your understanding of the methods for displaying data. If you hit a snag and need more information about lesson topics, feel free to submit your questions to our experts.

7 Lessons in Chapter 11: Data Display Methods
Test your knowledge with a 30-question chapter practice test
Frequency Distributions: Definition & Types

1. Frequency Distributions: Definition & Types

This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.

Frequency & Relative Frequency Tables: Definition & Examples

2. Frequency & Relative Frequency Tables: Definition & Examples

Frequency and relative frequency tables are a good way to visualize information. This is especially useful for information that is grouped into categories where you are looking for popularity or mode.

Creating & Reading Stem & Leaf Displays

3. Creating & Reading Stem & Leaf Displays

Every once in a while you will come across stem-and-leaf displays in statistics. These displays can be very useful in identifying all of the values in a data set while still visually representing the data.

Creating & Interpreting Histograms: Process & Examples

4. Creating & Interpreting Histograms: Process & Examples

Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.

Creating & Interpreting Scatterplots: Process & Examples

5. Creating & Interpreting Scatterplots: Process & Examples

Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.

Creating & Interpreting Box Plots: Process & Examples

6. Creating & Interpreting Box Plots: Process & Examples

Box plots are an essential tool in statistical analysis. This lesson will help you create a box plot and understand its meaning. When you are finished, test your understanding with a short quiz!

What is a Pie Chart? - Definition & Examples

7. What is a Pie Chart? - Definition & Examples

Learn how useful pie charts can be in your life and how you can gain information by just glancing at one. Look over some examples, learn how to create pie charts yourself, and then take a short quiz.

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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