Ch 54: OAE Mathematics: Continuous Probability Distributions

About This Chapter

Discover all the information you need to know regarding continuous probability distributions. The video lessons in this chapter and the short end-of-lesson quizzes can help you prepare for the OAE Mathematics exam.

OAE Mathematics: Continuous Probability Distributions - Chapter Summary

Learn strategies on estimation and problem solving in continuous probability distributions as you study for the OAE Mathematics exam. This chapter will cover the following topics in detail:

  • Graphing probability distributions
  • Finding expected values
  • Developing continuous probability distributions
  • Properties of normal distribution
  • Estimating from normal distributions
  • Approximating binomial probabilities

Knowledgeable mathematics instructors take you through continuous probability distribution problems and solutions utilizing engaging teaching techniques. The video lessons create a unique learning environment that keeps studying and reviewing the material fun and productive.

Objectives of the OAE Mathematics: Continuous Probability Distributions Chapter

The math assessment offered by Ohio Assessments for Educators has been specifically designed for educators who are looking to obtain licensure in the academic field of mathematics. There are multiple sections on the test that cover different mathematical concepts. The questions on continuous probability distributions are included in the section on statistics, probability, and discrete mathematics. This section makes up approximately 19% of the overall score.

The test itself will take approximately four hours and 15 minutes to complete and is comprised of 150 multiple-choice questions. You can assess yourself prior to taking the exam using the questions found on the quizzes of each lesson. They contain the same information and use the same style as the actual exam.

6 Lessons in Chapter 54: OAE Mathematics: Continuous Probability Distributions
Test your knowledge with a 30-question chapter practice test
Graphing Probability Distributions Associated with Random Variables

1. 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

2. 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

3. 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

4. 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.

Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples

5. Estimating Population Percentages from Normal Distributions: The Empirical Rule & Examples

If you've been working with z-scores for long, you probably get tired of checking those tables every time you need to check the area under the curve. Luckily, the empirical rule helps us memorize the most important values.

Using Normal Distribution to Approximate Binomial Probabilities

6. Using Normal Distribution to Approximate Binomial Probabilities

Binomial probabilities describe processes in our world. Learn how to create and interpret a binomial probability distribution graph, and discover how the normal distribution can form a good approximation of the binomial distribution.

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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Other Chapters

Other chapters within the Ohio Assessments for Educators - Mathematics (027): Practice & Study Guide course

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