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Ch 53: ORELA Middle Grades Math: Samples & Populations

About This Chapter

Review basic concepts in working with samples and populations in preparation for the ORELA Middle Grades Mathematics test. The video lessons and quizzes cover topics such as random sampling, parameters and probability.

ORELA Middle Grades Math: Samples & Populations - Chapter Summary

This chapter focuses on the definition and applications of mathematical sampling. By reviewing these video lessons, you can prepare for the ORELA Middle Grades Math test. Some of the topics addressed in this chapter include:

  • Research applications of sampling and populations
  • Random sampling
  • Probability and non-probability sampling
  • Convenience samples
  • Random assignment, random selection and random allocation
  • Interpreting randomized experiments
  • Differences between population, sample and generalizability
  • Sample variance
  • Parameters

The content of this chapter is presented through 5-10 minute videos that include fun graphics and illustrated examples of how to complete various sample-related math problems. Our knowledgeable instructors have also provided lesson transcripts and multiple-choice quizzes so you can assess your knowledge and prepare for this math skills test.

ORELA Middle Grades Math: Samples & Populations Objectives

The ORELA Middle Grades Mathematics exam is for aspiring teachers in Oregon who wish to earn a teaching certification in middle school math. The test assesses your knowledge of basic math as well as gauges your ability to teach math concepts to middle school students. The test includes 150 multiple-choice questions, 25% of which focus on statistics, probability and discrete mathematics. This content area may include questions on analyzing different sampling techniques and using the appropriate formulas to display and organize data. This is a computer-based test, and you'll have four hours and 15 minutes to complete it.

12 Lessons in Chapter 53: ORELA Middle Grades 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.

The Relationship Between Population, Sample & Generalizability

9. The Relationship Between Population, Sample & Generalizability

Researchers try their best to gather a sample that represents their population. But why is this important? In this lesson, we'll look at the relationship between population, sample, and generalizability in research.

Population & Sample Variance: Definition, Formula & Examples

10. 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

11. 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

12. 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.

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.
Not Taken

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Other Chapters

Other chapters within the ORELA Middle Grades Mathematics: Practice & Study Guide course

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