Ch 53: NES Middle Grades Math: Samples & Populations

About This Chapter

Reinforce your knowledge of sampling methods and population representation in statistical data collection with the lessons in this chapter. Prepare for the NES Middle Grades Mathematics test by completing the quizzes and reviewing the printable materials.

NES Middle Grades Math: Samples & Populations - Chapter Summary

The process of preparing for the National Evaluation Series (NES) Middle Grades Mathematics exam is made convenient and enjoyable by this chapter. Use it for reviewing basic principles of participant selection and sampling. The videos include expert instruction by our talented contributors who discuss the most critical aspects of populations and samples, including:

  • Random and non-probability sampling
  • Convenience samples
  • Random assignment, selection, and allocation
  • Interpreting and analyzing experiment results
  • The relationships between sample, population, and generalization
  • Parameters and statistics

This web-based study platform makes your study efforts as unobtrusive and flexible as possible; the lessons can be viewed on any web-ready device, the videos are short and to-the-point, and the lesson navigation is intuitive. You can review the lesson transcripts and worksheets for a reference to help get your mind used to seeing the formulas and examples in print. The lesson quizzes and chapter test will help you further by giving you a chance to answer multiple-choice questions like those you can expect to see on the real exam.

NES Middle Grades Math: Samples & Populations Objectives

The Statistics, Probability, and Discrete Mathematics content domain of the NES Middle Grades Mathematics exam constitutes 25% of the overall content. The related objective is 0010, which tests your knowledge of statistics principles/techniques. There are 150 multiple-choice questions overall and you will be given four hours and fifteen minutes to answer them all. To pass the exam you must score over 220 on the 100-300 score scale.

Check out the NES website for more detailed information about the test, including a complete breakdown of the content domains and testing objectives. You will also register for the test and retrieve your detailed score report from their website.

12 Lessons in Chapter 53: NES 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.
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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