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Ch 64: MTTC Math (Secondary): Types of Graphs, Tables, & Data

About This Chapter

Get to know more than just the basics concerning graphs, tables, and data as you look through these engaging video lessons. Use our study guide materials to bone-up on your algebra skills before you take the MTTC Mathematics (Secondary) test.

MTTC Math (Secondary): Types of Graphs, Tables, & Data - Chapter Summary

Allow our entertaining videos to reacquaint you with uses for graphs, tables, and data as you study for the MTTC Mathematics (Secondary) test. Be prepared to do your best by going over the following:

  • Histograms, scatterplots, dot plots, and box plots
  • Bar graphs, line graphs, and pie charts
  • Stem and leaf displays
  • Frequency, cumulative frequency, and relative frequency tables
  • Univariate and bivariate data predictions
  • Conditional, marginal, and joint frequencies

You might be fairly familiar with the common types of graphs, tables, and data sets, but the less common types are only used in certain situations, so you might be a little fuzzy on the details. Our test prep materials can help you refocus your memories. The first step involves viewing the video lessons. Lessons might be short, but they each contain the most pertinent information possible. If your time to study for the MTTC Mathematics (Secondary) test is limited, remember that you can log on to our site at any time using any of your Wi-Fi-ready devices, and you can skip around to study only what you need to review.

MTTC Math (Secondary): Types of Graphs, Tables, & Data - Chapter Objectives

High school educators pursuing certification to teach mathematics in Michigan must score at least 220 points on the MTTC Mathematics (Secondary) test. This multiple-choice subject assessment determines the extent of a teacher's knowledge in such fields as algebra, statistics, geometry, and number concepts. By completing the test prep materials in our chapter, you should be able to fulfill at least three of the five objectives within the algebra section of the exam. This section makes up almost 30% of the entire test. These three objectives include using graphs, tables, and data as a means to evaluate number patterns, to demonstrate how different patterns have changed, and to apply the gathered data toward solving both quadratic and linear equations.

13 Lessons in Chapter 64: MTTC Math (Secondary): Types of Graphs, Tables, & Data
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.

Reading and Interpreting Line Graphs

2. 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

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.

Understanding Bar Graphs and Pie Charts

4. 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

5. 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

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.

Creating & Interpreting Dot Plots: Process & Examples

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.

Creating & Interpreting Box Plots: Process & Examples

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!

Frequency & Relative Frequency Tables: Definition & Examples

9. 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

10. 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.

What is Bivariate Data? - Definition & Examples

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.

What is a Two-Way Table?

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.

Joint, Marginal & Conditional Frequencies: Definitions, Differences & Examples

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.

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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