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Ch 55: NES Math: Continuous Probability Distributions

About This Chapter

Prepare for NES Math exam questions on continuous probability distribution by watching the lessons in this chapter. These videos, quizzes and other study aids offer a solid review of probability distributions.

NES Math: Continuous Probability Distributions - Chapter Summary

Use the lessons in this chapter to refresh your understanding of probability distributions and how to graph them. Our video lessons can help you prepare for NES Math exam questions related to:

  • How to graph probability distributions associated with random variables
  • Ways to find and interpret the expected value of a continuous random variable
  • How to develop continuous probability distributions theoretically
  • Definition and properties of normal distribution
  • The empirical rule for estimating population percentages from normal distributions
  • How to use normal distribution to approximate binomial probabilities

Our video lessons are brief, about five to ten minutes long each, and equipped with a clickable timeline that lets you jump back to specific parts for review without having to watch the whole video again. You can use the transcript that accompanies each lesson to read along with the instructor. Lesson quizzes and a chapter exam test your learning.

NES Math: Continuous Probability Distributions Chapter Objectives

At least five states require passing the NES Math exam in order to obtain certification to teach the math in a secondary school. The exam is divided into five content domains, and questions on the material this chapter explores are in the Statistics, Probabilities and Discrete Mathematics content domain area, which makes up 19% of the test's score.

Like the questions in our lesson quizzes, all questions on the NES Math exam are multiple choice, requiring you to pick the best answer from several options. Completing our quizzes can give you practice answering questions in the format you'll encounter on test day as well as showing you where extra study might be helpful.

6 Lessons in Chapter 55: NES Math: Continuous Probability Distributions
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.

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Other Chapters

Other chapters within the NES Mathematics (304): Practice & Study Guide course

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