FTCE Middle Grades Math: Sampling - Videos & Lessons

About This Chapter

Follow along as our instructors guide you through important information about sampling. The topics covered in this chapter will help you prepare for the FTCE Middle Grades Mathematics Test. Take the lesson quizzes to test yourself before the exam.

FTCE Middle Grades Math: Sampling - Chapter Summary

In this chapter, watch engaging video lessons that cover definitions and conversions associated with sampling that might come up on the FTCE Middle Grades Math exam. Learn about the following information:

The definition of simple random sample
What random sampling is
Defining stratified and cluster random samples
Distinguishing the advantages of systematic random sampling
The law of large numbers

Use our short and entertaining video lessons to get a handle on the concepts that may appear on the exam. The videos include text transcripts and are viewable from computers and mobile devices with Internet access for ultimate studying flexibility.

6 Lessons in Chapter 24: FTCE Middle Grades Math: Sampling

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1. Simple Random Samples: Definition & Examples

Simple random sampling is a common method used to collect data in many different fields. From psychology to economics, simple random sampling can be the most feasible way to get information. Learn all about it in this lesson!

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.

3. Stratified Random Samples: Definition, Characteristics & Examples

Random sampling isn't always simple! There are many different types of sampling. In this lesson, you will learn how to use stratified random sampling and when it is most appropriate to use it.

4. Cluster Random Samples: Definition, Selection & Examples

Cluster random sampling is one of many ways you can collect data. Sometimes it can be confusing knowing which way is best. This lesson explains cluster random sampling, how to use it, and the differences between cluster and stratified sampling.

5. Systematic Random Samples: Definition, Formula & Advantages

Systematic random sampling is a great way to randomly collect data on a population without the hassle of putting names in a bag or using a random number generator. In this lesson, learn all about how and when to use systematic random sampling.

6. Understanding the Law of Large Numbers

The law of large numbers is a concept that is often misunderstood in statistics. In this lesson, you will learn the real meaning of the law of large numbers and how it is employed.

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Visit the FTCE Middle Grades Mathematics 5-9 (025): Practice & Study Guide page to learn more.

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