Ch 49: MTEL Math: Data & Graphs

About This Chapter

Let us help you study for the MTEL Math exam. By completing this chapter, you will refresh your understanding of how to present and interpret scientific data.

MTEL Math: Data & Graphs - Chapter Summary

Passing the MTEL Math exam will require your understanding of data and graphs. The lessons in this chapter will review the various methods for displaying and deciphering data, such as tables, graphs and plots. More specifically, you'll explore:

  • Tables and schedules
  • Real-world applications of tables and graphs
  • Stem and leaf displays
  • Bar graphs, line graphs and pie charts
  • Scatterplots
  • Histograms
  • Dot plots
  • Box plots
  • Relative and cumulative frequency tables
  • Frequency polygons
  • Using univariate data and bivariate data
  • Two-way tables

The lessons in this chapter have been specifically designed to allow you to review material that you are likely to come across on the MTEL Math exam. You'll find a short video included with each lesson to help illustrate the various graphs, plots and tables. You'll find the video's transcript included in each lesson for text-based learning. You can take a self-assessment quiz at the end of each lesson to apply what you've learned and see how questions may appear on the exam.

MTEL Math: Data & Graphs Chapter Objectives

The MTEL Math exam is a requirement for educators seeking professional certification to teach math courses in Massachusetts. The exam covers five major areas of content. The information reviewed in this chapter will prepare you for questions related to data analysis, statistics and probability, which account for 10% of the total score.

The MTEL Math exam is a computer-based test that contains 100 multiple-choice questions and 2 open-ended responses. The open-ended response questions comprise 20% of the total score and could be related to any of the five content areas. You will need a minimum score of 240 on the exam to qualify for certification.

15 Lessons in Chapter 49: MTEL Math: Data & Graphs
Test your knowledge with a 30-question chapter practice test
Organizing and Understanding Data with Tables & Schedules

1. Organizing and Understanding Data with Tables & Schedules

In math, when we have to deal with a lot of data, having a visual format to present all the data becomes very useful. Watch this video lesson to learn how you can take advantage of two of these visual formats.

Using Tables and Graphs in the Real World

2. Using Tables and Graphs in the Real World

We use tables and graphs in algebra as ways to visually show an equation or function. But do we really use these in the real world? Is it that important to learn about tables and graphs? Find out in this video lesson.

Reading and Interpreting Line Graphs

3. Reading and Interpreting Line Graphs

Watch this video lesson to find out how useful line graphs can be and how much information you can gain just from looking at one. Learn how you can apply that information in your own life to help you make better decisions.

Creating & Reading Stem & Leaf Displays

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.

Understanding Bar Graphs and Pie Charts

5. 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.

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 & Interpreting Dot Plots: Process & Examples

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.

Creating & Interpreting Box Plots: Process & Examples

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!

Frequency & Relative Frequency Tables: Definition & Examples

10. 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

11. 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 & Interpreting Frequency Polygons: Process & Examples

12. 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.

Making Arguments & Predictions from Univariate Data

13. 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.

What is Bivariate Data? - Definition & Examples

14. 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.

What is a Two-Way Table?

15. 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.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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Other chapters within the MTEL Mathematics (09): Practice & Study Guide course

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