Ch 4: Descriptive Statistics: Representation

About This Chapter

Study visual data representations with this business study resource. These engaging lessons and self-assessment quizzes can be studied whenever you need to prepare for an upcoming exam, bring up your grades, finish an assignment or improve your business statistics skills.

Descriptive Statistics: Representation - Chapter Summary

This collection of business statistics lessons examines descriptive statistics for data representation. Our experienced instructors help you evaluate several ways to represent sets of data, including scatterplots, histograms and dot plots. Use the included self-assessment quizzes to make sure you retain what you've studied. The chapter is available 24/7, and you can access it using any device that has an Internet connection. Lessons can viewed as many times as needed, and you can also reach out to our instructors if you have any questions. Upon completion of the chapter, you'll be equipped to:

  • Define and list types of data distribution
  • Describe the characteristics of visual representations of data
  • Share the definition and an example of skewness in statistics
  • Outline the processes of creating and interpreting dot plots, box plots, scatterplots and histograms
  • Explain how to create histograms, box plots, scatterplots and dot plots in Excel

8 Lessons in Chapter 4: Descriptive Statistics: Representation
Test your knowledge with a 30-question chapter practice test
What is Data Distribution? - Definition & Types

1. What is Data Distribution? - Definition & Types

In this lesson, you will learn the definition of a data distribution. We will look at examples and features of various types of data distributions. You can then take a brief quiz to see what you learned.

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

2. 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.

Skewness in Statistics: Definition, Formula & Example

3. Skewness in Statistics: Definition, Formula & Example

In this lesson, you'll learn about skewness in statistics, including what data distribution and bell curves look like with and without skew. After that, you'll learn a formula to calculate skew, and then you can test your knowledge with a brief quiz.

Creating & Interpreting Dot Plots: Process & Examples

4. 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 & Interpreting Box Plots: Process & Examples

5. 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!

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.

Creating & Interpreting Histograms: Process & Examples

7. 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 Histograms, Box, Scatter & Dot Plots in Excel

8. Creating Histograms, Box, Scatter & Dot Plots in Excel

Microsoft Excel provides a number of easily accessible graph or chart options. In this lesson, we'll use an example to show you how to create a box, dot, and scatter plot and a historgram.

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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