About This Chapter
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
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.
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.
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.
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.
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!
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.
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.
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.
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Other chapters within the Business 212: Business Statistics course
- Introduction to Business Statistics
- Introduction to Categorical Data
- Descriptive Statistics: Measurement
- Measures of Dispersion in Business
- Measures of Association & Correlation in Business
- Probability for Business Statistics
- Probability Distributions for Business Statistics
- Sampling Methods for Statistics
- Confidence Intervals
- Hypothesis Testing in Business
- Analysis of Variance
- Nonparametric Methods in Statistics
- Regression Analysis
- Understanding Business Forecasting
- Using Control Charts in Business