About This Chapter
Visual Representations in Statistics - Chapter Summary and Learning Objectives
Find out how visual representations are used to analyze data and see examples of histograms, box plots, bar graphs and pie charts. Our professional instructors lead you through lessons on bivariate data, conditional frequencies and frequency tables using animations and graphics to bring these concepts to life. You can easily find definitions for key terms with the handy lesson transcripts that come with each video or review a main point in a video by using the video tags we provide. These short and flexible lessons can help you:
- Learn how to use frequency tables
- Differentiate between relative and cumulative frequency tables
- Interpret different types of visual representations
- Use univariate data to make arguments
|Visual Representations of a Data Set: Shape, Symmetry & Skewdness||Explore the different characteristics of visual representations of data sets.|
|Frequency & Relative Frequency Tables: Definition & Examples||Determine how frequency and relative frequency tables are used.|
|Cumulative Frequency Tables: Definition, Uses & Examples||See cumulative frequency tables in action as you learn about their uses.|
|How to Calculate Percent Increase with Relative & Cumulative Frequency Tables||Observe the method for calculating a percent increase using frequency tables.|
|Creating & Reading Stem & Leaf Displays||Find out how to create stem and leaf displays then learn to read them.|
|Creating & Interpreting Histograms: Process & Examples||Evaluate uses for histograms after learning the essentials needed to create and interpret them.|
|Creating & Interpreting Frequency Polygons: Process & Examples||Use examples of frequency polygons to learn methods for creating and interpreting this form of visual representation.|
|Creating & Interpreting Dot Plots: Process & Examples||Examine the steps used to create dot plots then study ways to interpret them.|
|Creating & Interpreting Box Plots: Process & Examples||Find out how box plots are created and learn about their uses.|
|Understanding Bar Graphs and Pie Charts||Get the basics on how to use bar graphs and pie charts.|
|Making Arguments & Predictions from Univariate Data||Study the essential steps needed to make arguments and predictions using univariate data.|
|What is Bivariate Data? - Definition & Examples||View examples to learn how bivariate data is used.|
|What is a Two-Way Table?||Get tips on reading two-way tables and learn how they're used in statistics.|
|Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples||Explain each of these frequencies and see how they differ.|
1. 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.
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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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!
10. 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.
11. 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.
12. 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.
13. 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.
14. 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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Other chapters within the DSST Principles of Statistics: Study Guide & Test Prep course
- Data Types & Measurements in Statistics
- Sampling Methods in Statistics
- Descriptive Statistics of Data Sets
- Probability: Rules for Events
- Probability Combinations, Permutations & Expected Values
- Probability: Discrete & Continuous Distributions
- Correlation & Regression in Statistics
- Sampling Distributions in Statistics
- Hypothesis Testing in Inferential Statistics
- About the DSST Tests