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Ch 55: OAE Mathematics: Sampling

About This Chapter

These engaging videos, most under ten minutes in length, illustrate the sampling concepts and methods you could be tested on as you work through the OAE Mathematics certification assessment. Ask our instructors any sampling questions you have as you work through this chapter.

OAE Mathematics: Sampling - Chapter Summary

If you're studying for your OAE Mathematics exam, use these fun video lessons to help you master the sampling concepts you may see on the test. As you work through this chapter, you will review:

  • Random sampling conditions and methods
  • Simple vs. stratified random samples
  • Cluster and systematic random samples
  • The central limit theorem
  • Calculating mean and standard of error
  • How to calculate probabilities about means

Practice the techniques and theories presented in the lessons by working through the quizzes. You'll be able to see how well you've comprehended the sampling concepts from the videos and pinpoint any ideas that could use additional review.

Objectives of the OAE Mathematics: Sampling Chapter

This chapter uses videos, transcripts, quizzes and instructor support to help you master the sampling methods and ideas you'll be tested on during the OAE Mathematics certification assessment. Use the self-assessments to practice the sampling concepts you need and preview the OAE format.

You'll be tested in five content domains, and sampling questions could appear in the statistics, probability and discrete math section, which makes up 19% of the test. The entire 150-question test is administered by computer. You will have no more than four hours and fifteen minutes to complete the exam.

8 Lessons in Chapter 55: OAE Mathematics: Sampling
Test your knowledge with a 30-question chapter practice test
What is Random Sampling? - Definition, Conditions & Measures

1. What is Random Sampling? - Definition, Conditions & Measures

Random sampling is used in many research scenarios. In this lesson, you will learn how to use random sampling and find out the benefits and risks of using random samples.

Simple Random Samples: Definition & Examples

2. Simple Random Samples: Definition & Examples

Simple random sampling is a common method used to collect data in many different fields. From psychology to economics, simple random sampling can be the most feasible way to get information. Learn all about it in this lesson!

Stratified Random Samples: Definition, Characteristics & Examples

3. Stratified Random Samples: Definition, Characteristics & Examples

Random sampling isn't always simple! There are many different types of sampling. In this lesson, you will learn how to use stratified random sampling and when it is most appropriate to use it.

Cluster Random Samples: Definition, Selection & Examples

4. Cluster Random Samples: Definition, Selection & Examples

Cluster random sampling is one of many ways you can collect data. Sometimes it can be confusing knowing which way is best. This lesson explains cluster random sampling, how to use it, and the differences between cluster and stratified sampling.

Systematic Random Samples: Definition, Formula & Advantages

5. Systematic Random Samples: Definition, Formula & Advantages

Systematic random sampling is a great way to randomly collect data on a population without the hassle of putting names in a bag or using a random number generator. In this lesson, learn all about how and when to use systematic random sampling.

Sampling Distributions & the Central Limit Theorem: Definition, Formula & Examples

6. Sampling Distributions & the Central Limit Theorem: Definition, Formula & Examples

Want proof that all of this normal distribution talk actually makes sense? Then you've come to the right place. In this lesson, we look at sampling distributions and the idea of the central limit theorem, a basic component of statistics.

Find the Mean & Standard Error of the Sampling Distribution

7. Find the Mean & Standard Error of the Sampling Distribution

Have you ever had a situation where one grade destroyed your average? Wouldn't you like a way of proving that your work was actually pretty good with that one exception? The standard error gives you such a chance.

Finding Probabilities About Means Using the Central Limit Theorem

8. Finding Probabilities About Means Using the Central Limit Theorem

The central limit theorem provides us with a very powerful approach for solving problems involving large amount of data. In this lesson, we'll explore how this is done as well as conditions that make this theorem valid.

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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