Ch 45: CEOE Middle Level/Intermediate Math: Sampling

About This Chapter

These lessons will help you in your preparation for the Certification Examinations for Oklahoma Educators (CEOE) Middle Level/Intermediate Math test. The subject matter of this chapter is sampling and the video lessons and self-assessment quizzes can help you to prepare for these specific types of questions.

CEOE Middle Level/Intermediate Math: Sampling - Chapter Summary

Study.com instructors developed this refresher material for Oklahoma teachers who are planning to take the CEOE math test. The lessons contain answers to test questions asking about:

  • The meaning of simple random samples
  • Conditions and measures of random sampling
  • The definition and selection of cluster random samples
  • The characteristics and definition of stratified random samples
  • The definition, formula and advantages of systematic random samples
  • Getting to know the Law of Large Numbers
  • The definition of bivariate data

The various math concepts are broken into short video presentations for ease of understanding. A quiz at the end of the lesson serves as an assessment of your comprehension of the subject matter and a convenient timeline tool makes it simple to go back and replay any points missed in the video lesson.

7 Lessons in Chapter 45: CEOE Middle Level/Intermediate Math: Sampling
Test your knowledge with a 30-question chapter practice test
Simple Random Samples: Definition & Examples

1. 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!

What is Random Sampling? - Definition, Conditions & Measures

2. 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.

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.

Understanding the Law of Large Numbers

6. Understanding the Law of Large Numbers

The law of large numbers is a concept that is often misunderstood in statistics. In this lesson, you will learn the real meaning of the law of large numbers and how it is employed.

What is Bivariate Data? - Definition & Examples

7. What is Bivariate Data? - Definition & Examples

In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
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Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
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Other Chapters

Other chapters within the OSAT Middle Level/Intermediate Mathematics (CEOE) (125): Practice & Study Guide course

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