Ch 6: GED Math: Data, Probability & Statistics

About This Chapter

Enhance your preparation for the GED math exam by ensuring that you fully comprehend data, probability and statistics. Review our engaging and fun lessons on central tendency and data analysis related to tables and graphs.

GED Math: Data, Probability & Statistics - Chapter Summary

If you haven't reviewed information on probability and statistics to prepare for the GED math exam, look no further. This chapter covers everything you need to know in order to successfully complete this portion of the exam. The short lessons will prepare you to answer questions in regards to:

  • Difference between tables, pictographs, line graphs, bar graphs and circle graphs
  • Examples of data sets
  • Ways to interpret information in graphs and plots
  • Formula used to calculate the weighted average
  • Difference between simple, compound and complementary events
  • Independent vs. dependent events
  • Problems using permutation and combination

The subjects of probability and statistics can be tricky ones to understand. Our instructors teach these lessons in a way that is not only informative but also easy for you to understand. If you find yourself struggling to retain the material or you have any questions, our instructors are available to address any of your concerns, making you more confident on test day.

7 Lessons in Chapter 6: GED Math: Data, Probability & Statistics
Test your knowledge with a 30-question chapter practice test
Understanding Data Presented in Tables & Graphs

1. Understanding Data Presented in Tables & Graphs

Data is often presented in tables and graphs to make it easier to understand and interpret. In this lesson, you will learn about several types of tables and graphs, and develop the skills needed to understand them.

Data Set in Math: Definition & Examples

2. Data Set in Math: Definition & Examples

In this lesson, learn about data sets and how to use the operations of mean, median, and mode to manipulate the data. Then, test your knowledge with a brief quiz.

Central Tendency: Dot Plots, Histograms & Box Plots

3. Central Tendency: Dot Plots, Histograms & Box Plots

To quickly visualize and categorize groups of data, we can use graphical representations like dot plots, histograms, and box plots. In this lesson, you will learn how to create and interpret these important graphs.

Calculating Weighted Average: Method, Formula & Example

4. Calculating Weighted Average: Method, Formula & Example

This lesson will examine the concept of a weighted average and types of situations when it should be used instead of a standard average. It will also give some real-world examples of a weighted average.

Probability of Simple, Compound and Complementary Events

5. Probability of Simple, Compound and Complementary Events

Simple, compound, and complementary events are different types of probabilities. Each of these probabilities are calculated in a slightly different fashion. In this lesson, we will look at some real world examples of these different forms of probability.

Probability of Independent and Dependent Events

6. Probability of Independent and Dependent Events

Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.

Permutation & Combination: Problems & Practice

7. Permutation & Combination: Problems & Practice

In this lesson, we will practice solving various permutation and combination problems using permutation and combination formulas. We can continue our practice when we take a quiz at the end of the lesson.

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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