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Ch 52: CEOE Advanced Math: Samples & Populations

About This Chapter

Prepping for the CEOE Advanced Math exam doesn't have to be hard or too time-consuming when you utilize the materials in this chapter. They are designed to teach you about samples and populations.

CEOE Advanced Math: Samples & Populations - Chapter Summary

Once you take the opportunity to look through the lessons in this chapter, you will have a better understanding of principles that deal with populations and samples. Study the lessons as you anticipate taking the CEOE Advanced Math exam for a teaching certification. Some topics you can look more closely at include:

  • Definition of samples and populations
  • Conditions of random sampling
  • Non-probability sampling techniques
  • Problems with probability and non-probability sampling
  • Convenience sampling
  • Random selection, random allocation and randomized experiments

Expanding upon your knowledge of sampling and population topics is made easy thanks to these lessons. You can also use them to review topics you already know so you can be sure you are ready for the exam.

CEOE Advanced Math: Sample & Populations Chapter Objectives

You can get a certification in Oklahoma as a teacher by passing the CEOE Advanced Math test. It was made to assess your understanding of different math-related subject matter. The content that is in this chapter is part of the Subarea 5 section. This portion makes up 14% of the entire exam, and you will have to answer multiple-choice questions. Our engaging lessons help you identify the different sampling methods. Armed with this knowledge, you will be ready for any pertinent question on the CEOE Advanced Math exam.

8 Lessons in Chapter 52: CEOE Advanced Math: Samples & Populations
Test your knowledge with a 30-question chapter practice test
Samples & Populations in Research: Definition

1. Samples & Populations in Research: Definition

When planning an experiment, you will likely use groups of participants. This lesson explores the types of groups an experimenter can collect data from and the reason why there are different groups.

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.

Non-Probability Sampling Methods: Definition & Types

3. Non-Probability Sampling Methods: Definition & Types

There are many different ways to choose a sample for a research study. In this lesson, we'll look at three types of non-probability sampling: convenience, quota, and judgmental (or purposive sampling) and when to use each type.

Issues in Probability & Non-Probability Sampling

4. Issues in Probability & Non-Probability Sampling

Choosing a sample is an important part of research. The two methods of sampling both come with their own set of issues. In this lesson, we'll look at the issues with probability and non-probability sampling.

Convenience Sample: Example & Definition

5. Convenience Sample: Example & Definition

Conducting true experiments is expensive and time-consuming. However, by using a sample of a population that is convenient, the cost and time required to conduct it are greatly reduced. So, why not do that for every experiment?

Random Assignment in Research: Definition and Importance

6. Random Assignment in Research: Definition and Importance

In order to get the most accurate results, researchers must choose and assign their subjects in a random manner. In this lesson, we'll look at random assignment, random selection, and why they are important.

Random Selection & Random Allocation: Differences, Benefits & Examples

7. Random Selection & Random Allocation: Differences, Benefits & Examples

Random selection and random allocation are often confused with one another. This lesson will help you remember the differences between them and learn how to use each method.

Analyzing & Interpreting the Results of Randomized Experiments

8. Analyzing & Interpreting the Results of Randomized Experiments

Analyzing and interpreting the results of an experiment can be a confusing process, and it's easy to make mistakes. This lesson will help you understand the important factors of experiment analysis.

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 Advanced Mathematics (CEOE) (111): Practice & Study Guide course

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