# Ch 24: HiSET Mathematics: Probability Distributions

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
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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