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Ch 24: SBA Math - Grade 7: Data & Graphs

About This Chapter

This chapter ensures that students are well-acquainted with the ways in which various representations of data are developed and interpreted. Short, engaging video lessons will help students as they're preparing for the SBA Math Grade 7 assessment.

SBA Math - Grade 7: Data & Graphs - Chapter Summary

Histograms, bar graphs and pie charts are among the many data representations covered by our professional instructors in this chapter. When students are taking an SBA Math assessment, they will also be set for any items about the following from this prep chapter:

  • Understanding line graphs, schedules and tables
  • How to read frequency polygons
  • Interpreting stem and leaf displays
  • Two-way tables and joint, conditional and marginal frequencies
  • Reading scatter plots, dot plots and box plots
  • Real world applications of tables and graphs
  • Tables showing frequency and relative frequency
  • Evaluating contingency tables
  • Understanding univariate and bivariate data

Each of these fun video lessons can be watched by students on a computer, smartphone or tablet. After completing a video lesson, a student may easily double-check anything by using the video tags.

SBA Math - Grade 7: Data & Graphs Chapter Objectives

SBA Math Grade 7 assessments are used to see advances that students have achieved throughout the school year in the subject. One of the content categories for the summative assessment includes a target area requiring familiarity with data representation, such as graphs and tables. This particular part of the summative assessment includes selected-response questions along with performance tasks.

18 Lessons in Chapter 24: SBA Math - Grade 7: 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.

What is a Histogram in Math? - Definition & Examples

7. What is a Histogram in Math? - Definition & Examples

Watch this video lesson to see how useful a histogram can be when you need to show a bunch of data in an easy to read format. Also, learn how you can easily gather the information you need from looking at a histogram.

Creating & Interpreting Histograms: Process & Examples

8. 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

9. 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

10. 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

11. 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

12. 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.

How to Calculate Percent Increase with Relative & Cumulative Frequency Tables

13. 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.

Creating & Interpreting Frequency Polygons: Process & Examples

14. 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

15. 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

16. 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?

17. 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

18. 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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