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Ch 53: OAE Middle Grades Math: Samples & Populations

About This Chapter

Watch the video lessons in this chapter to get a fresh perspective on samples and populations as you get ready to take your OAE Middle Grades Mathematics assessment. The lesson quizzes can help test your knowledge to ensure you are prepared on exam day.

OAE Middle Grades Math: Samples & Populations - Chapter Summary

Make preparing for your OAE Middle Grades Mathematics assessment simple by watching the engaging video lessons in this chapter. The lessons give you a closer look at samples and populations to ensure you're ready to answer the following types of questions on the exam:

  • Defining samples and populations in research
  • Analyzing the conditions and measures of random sampling
  • Understanding issues in probability and non-probability sampling
  • Explaining the differences and benefits of random selection and random allocation
  • Interpreting the results of randomized experiments
  • Defining non-probability sampling methods
  • Explaining the difference between parameters and statistics

The instructors make learning about samples and populations entertaining with the help of fun visual and audio effects. This engaging, yet comprehensive approach to instruction can help solidify your knowledge of the subject and boost your confidence as you prepare to take the assessment.

OAE Middle Grades Math: Samples & Populations Chapter Objectives

The OAE Middle Grades Mathematics assessment is designed to test your knowledge of the subject area to ensure you're prepared for the classroom and are qualified to obtain a subject-specific teaching license in Ohio. The topics covered in the OAE Middle Grades Math: Samples & Populations chapter are located in the statistics, probability and discrete mathematics portion of the test, which constitutes about 25% of the exam. You can explore the video lessons in this chapter to familiarize yourself with this subject matter and also take self-assessment quizzes to test your comprehension while testing yourself with questions similar to those found in the exam.

The assessment is completely made up of multiple-choice questions. Each question is followed by a set of four answers, one of which you will be required to choose as the best option.

10 Lessons in Chapter 53: OAE Middle Grades Math: Samples & Populations
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.

Random Assignment in Research: Definition and Importance

5. 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

6. 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

7. 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.

Population & Sample Variance: Definition, Formula & Examples

8. Population & Sample Variance: Definition, Formula & Examples

Population and sample variance can help you describe and analyze data beyond the mean of the data set. In this lesson, learn the differences between population and sample variance.

Defining the Difference between Parameters & Statistics

9. Defining the Difference between Parameters & Statistics

Using data to describe information can be tricky. The first step is knowing the difference between populations and samples, and then parameters and statistics.

Estimating a Parameter from Sample Data: Process & Examples

10. Estimating a Parameter from Sample Data: Process & Examples

One of the most useful things we can do with data is use it to describe a population. Learn how in this lesson as we discuss the concepts of parameters and samples.

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Other Chapters

Other chapters within the Ohio Assessments for Educators - Middle Grades Mathematics: Practice & Study Guide course

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