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Ch 24: HiSET Mathematics: Probability Distributions

About This Chapter

This chapter will provide you with information that will be on the High School Equivalency Test (HiSET) mathematics exam. Watch the video lessons and use the multiple-choice quizzes to learn what you need to know about probability distributions.

HiSET Mathematics: Probability Distributions - Chapter Summary

Get ready for the HiSET math exam with this lesson chapter, which includes video lessons and transcripts on the topics listed below:

  • Types of random variables
  • Interpreting the expected value of a discrete random variable
  • Developing discrete probability distributions theoretically and empirically
  • How to graph probability distributions with random variables
  • The expected value of a continuous random variable
  • Developing continuous probability distributions theoretically and finding expected values
  • Characteristics and properties of normal distribution

Subject-matter experts lead you through each fun and practical video lesson in ways that you'll understand and remember. If you find you need further clarification on a particular concept, you can ask our instructors any questions. We are here to help you do your best.

Objectives of the HiSET Mathematics: Probability Distributions Chapter

Your ability to solve quantitative problems involving probability distributions is important for scoring well on the HiSET exam. The topics you'll study in this chapter are included in the Data Analysis/Probability Statistics section of the exam, which makes up 18% of the test. Use our lesson quizzes to assess your understanding and gain experience answering the multiple-choice questions you'll have to answer.

8 Lessons in Chapter 24: HiSET Mathematics: Probability Distributions
Test your knowledge with a 30-question chapter practice test
Random Variables: Definition, Types & Examples

1. Random Variables: Definition, Types & Examples

This lesson defines the term random variables in the context of probability. You'll learn about certain properties of random variables and the different types of random variables.

Finding & Interpreting the Expected Value of a Discrete Random Variable

2. Finding & Interpreting the Expected Value of a Discrete Random Variable

Discrete random variables appear in your life a lot more than you think. You can use expected values to find the probability of a discrete random variable, as shown in this lesson.

Developing Discrete Probability Distributions Theoretically & Finding Expected Values

3. Developing Discrete Probability Distributions Theoretically & Finding Expected Values

In this lesson, we will look at generating a theoretical probability distribution for a discrete random variable and introduce the concept of expected value.

Developing Discrete Probability Distributions Empirically & Finding Expected Values

4. Developing Discrete Probability Distributions Empirically & Finding Expected Values

In this lesson, we will look at creating a discrete probability distribution given a set of discrete data. We will also look at determining the expected value of the distribution.

Graphing Probability Distributions Associated with Random Variables

5. Graphing Probability Distributions Associated with Random Variables

What's a random variable? Does it have anything to do with gambling? What's the difference between a continuous and a discrete variable? This lesson explains the difference and how to graph each one.

Finding & Interpreting the Expected Value of a Continuous Random Variable

6. Finding & Interpreting the Expected Value of a Continuous Random Variable

How can you find the expected value of something like height distributions? This lesson explains how to find and interpret the expected value of a continuous random variable.

Developing Continuous Probability Distributions Theoretically & Finding Expected Values

7. Developing Continuous Probability Distributions Theoretically & Finding Expected Values

What is an expected value? How can you tell how many time you should expect a coin to land on heads out of several flips? This lesson will show you the answers to both questions!

Normal Distribution: Definition, Properties, Characteristics & Example

8. Normal Distribution: Definition, Properties, Characteristics & Example

In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of 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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