About This Chapter
Tables and Plots - Chapter Summary and Learning Objectives
Whether you'd like to practice interpreting tables and plots to prepare for test questions or are interested in finding out how to create them for your own purposes, lessons in this chapter can help you explore some of the visual tools used to organize and compare statistical info. Let our experienced instructors illustrate some of the most common graphical representations of data and show you how to:
- Interpret dot and box plots, histograms and frequency tables
- Evaluate pie charts and bar graphs
- Describe the differences between univariate and bivariate data
- Identify different frequency types
|Frequency & Relative Frequency Tables: Definition & Examples||Learn how to interpret relative frequency tables and explore their uses.|
|Cumulative Frequency Tables: Definition, Uses & Examples||Find out what cumulative frequency tables are used for and get instructions for creating them.|
|How to Calculate Percent Increase with Relative & Cumulative Frequency Tables||Explore the applications of relative and cumulative frequency tables to calculate percent increase.|
|Creating & Reading Stem & Leaf Displays||Discover methods for creating and reading stem and leaf displays.|
|Creating & Interpreting Histograms: Process & Examples||Explore the processes involved in creating and interpreting histograms.|
|Creating & Interpreting Frequency Polygons: Process & Examples||Understand how to create and interpret frequency polygons.|
|Creating & Interpreting Dot Plots: Process & Examples||Learn methods for creating and interpreting dot plots.|
|Creating & Interpreting Box Plots: Process & Examples||Find out how to create and interpret box plots.|
|Understanding Bar Graphs and Pie Charts||Identify the components of bar graphs and pie charts and learn how to interpret them.|
|Making Arguments & Predictions from Univariate Data||Use univariate data to make valid arguments and predictions.|
|What Is Bivariate Data? - Definition & Examples||Understand the difference between univariate and bivariate data.|
|What Is a Two-Way Table?||Discover the components of two-way tables and get strategies for using their column and row data to answer test questions.|
|Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples||Differentiate between joint, marginal and conditional frequencies.|
1. 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.
2. Cumulative Frequency Tables: Definition, Uses & Examples
Cumulative frequency tables can help you analyze and understand large amounts of information. In this lesson, you practice creating and interpreting cumulative frequency tables.
3. How to Calculate Percent Increase with Relative & Cumulative Frequency Tables
In statistics, one way to describe and analyze data is by using frequency tables. This lesson will discuss relative and cumulative frequencies and how to calculate percent increase using these two methods.
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.
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.
6. Creating & Interpreting Frequency Polygons: Process & Examples
Frequency polygons can be used to analyze data sets in many different ways. They are also a great way to visualize and compare two sets of data. In this lesson, learn the uses and create a frequency polygon.
7. 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.
8. 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!
9. Understanding Bar Graphs and Pie Charts
In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.
10. Making Arguments & Predictions from Univariate Data
Univariate data is used to describe a situation or experiment; however, you can also use the data to make arguments and predictions. This lesson will show you how to use measures of central tendency to make arguments and predictions.
11. What is Bivariate Data? - Definition & Examples
In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.
12. What is a Two-Way Table?
Do you believe in Martians? Do you watch football on television? A Two-Way Table or Contingency Table is a great way to show the results of all kinds of survey questions. In this video we will learn how to read a two-way table.
13. Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples
Joint, marginal, and conditional frequencies are all part of analyzing categorical data and two-way tables. This lesson will help you learn the definitions and differences between each concept.
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