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Ch 52: NMTA Middle Grades Math: Samples & Populations

About This Chapter

New Mexico has replaced the NMTA Middle Grades Mathematics test with the NES Middle Grades Mathematics test. Let us help you prepare for the NES Middle Grades Math test with engaging video lessons that explore samples and populations.

NMTA Middle Grades Math: Samples & Populations - Chapter Summary

Watch the video lessons in this chapter to refresh your knowledge of samples and populations as you prepare to take your NES Middle Grades Mathematics test. The lessons can help you get a solid grasp of the materials so you're prepared the answer questions addressing the following:

  • Defining samples and populations used in research
  • Understanding random sampling and its conditions and measures
  • Describing the importance of random assignment in research
  • Explaining the difference between random selection and random allocation
  • Analyzing and interpreting the results of randomized experiments
  • Defining the difference between parameters and statistics
  • Estimating a parameter from sample data

The videos provide a comprehensive overview of samples and data, offering useful methods, definitions and functions to get you ready to take your exam. The instructors present the topics in an engaging, yet comprehensive manner that makes learning effective and fun.

Objectives of the NMTA Middle Grades Math: Samples & Populations Chapter

The NES Middle Grades Mathematics test is designed to test your knowledge of the subject matter and make sure you're qualified to secure your teaching license or endorsement in New Mexico. The topics covered in the NMTA 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. Watch the video lessons in this chapter to boost your confidence in your ability to succeed on this portion of the exam. Also, utilize the self-assessment quizzes to answer practice questions similar to those found on the exam.

The assessment is made up of all multiple-choice questions that typically take the form of questions, sentences or short paragraphs and may be accompanied by illustrations, graphs or diagrams. Each question is followed by four answers, one of which you will be asked to choose as the best option.

11 Lessons in Chapter 52: NMTA 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.

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.

The Relationship Between Population, Sample & Generalizability

8. 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

9. 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

10. 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

11. 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 NMTA Middle Grades Mathematics (203): Practice & Study Guide course

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