Ch 51: GACE Math: Tables & Plots

About This Chapter

Prepare for questions on the GACE Mathematics teachers certification exam about frequency tables, graphs and plots by completing the activities in this chapter.

GACE Math: Tables & Plots - Chapter Summary

As part of a preparation course for the GACE Mathematics assessment, the material of this chapter has been assembled to aid in your review of frequency tables, stem and leaf displays, histograms and other visual representations of frequency. Watch these lesson videos of expert instructors to prepare for exam questions on:

  • Frequency and relative frequency tables
  • Cumulative frequency tables
  • Stem and leaf displays
  • Histograms
  • Frequency polygons
  • Dot plots and box plots
  • Bar graphs and pie charts
  • Bivariate data

Along with watching these lesson videos, you can improve your abilities working with visual displays of frequency by completing lesson worksheets and quizzes. Use the results from your lesson quizzes to find areas of weakness and then organize a review of these topics with video tags that will take you directly to key topics of the video lessons. For an alternative way of reviewing the material of this chapter, read over the lesson transcripts that present the same information in a written format.

9 Lessons in Chapter 51: GACE Math: Tables & Plots
Test your knowledge with a 30-question chapter practice test
Frequency & Relative Frequency Tables: Definition & Examples

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.

Cumulative Frequency Tables: Definition, Uses & Examples

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.

Creating & Reading Stem & Leaf Displays

3. 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

4. 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 Frequency Polygons: Process & Examples

5. 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.

Creating & Interpreting Dot Plots: Process & Examples

6. 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

7. 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!

Understanding Bar Graphs and Pie Charts

8. 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.

What is Bivariate Data? - Definition & Examples

9. 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.

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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