Ch 3: Numerical Data Representation

About This Chapter

Reviewing the concepts involved with numerical data representation is easy with our short video lessons and quizzes. You can use this chapter as a test prep exercise ahead of exam day so you'll know which subjects to study in order to get the best score possible.

Numerical Data Representation - Chapter Summary

These engaging lessons introduce you to the various ways numerical data is represented. Our expert instructors cover topics such as scientific notation, significant figures and how to build and read a stem and leaf display. You'll also review the process needed to create another data representation called a histogram. After working through these lessons, you will be able to:

  • Give examples of quantitative data
  • Create a dot plot and interpret its data
  • Illustrate data using a scatterplot
  • Understand when a logarithmic scale is the best way to represent information

Our video lessons are short, engaging and easy to follow. You can take the accompanying multiple-choice quizzes to ensure you are ready to move on to the next lesson. If you find you would like to review a topic covered in a video lesson, use the video tabs feature to skip directly to that section. You can also print out the video transcripts, which outline the essential topics and keywords in bold print for easy study.

7 Lessons in Chapter 3: Numerical Data Representation
Test your knowledge with a 30-question chapter practice test
What is Quantitative Data? - Definition & Examples

1. What is Quantitative Data? - Definition & Examples

Watch this video lesson to find out the difference between saying you have seven apples and saying that those apples are delicious. You will learn about quantitative data and why it is useful.

Significant Figures and Scientific Notation

2. Significant Figures and Scientific Notation

Are 7.5 grams and 7.50 grams the same? How do scientists represent very large and very small quantities? Find out the answers to these questions in this video.

Creating & Interpreting Dot Plots: Process & Examples

3. Creating & Interpreting Dot Plots: Process & Examples

Dot plots are a visual way to display the frequency distribution in a data set. In this lesson, you will learn how to construct a dot plot and understand its uses.

Creating & Reading Stem & Leaf Displays

4. 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

5. 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

6. 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.

Logarithmic Scale: Definition & Overview

7. Logarithmic Scale: Definition & Overview

A logarithmic scale is a useful way to represent information on a graph, especially when there are exponential changes in the magnitude of the numbers. Learn more, look at several examples and take a quiz to test your knowledge.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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