# Ch 37: FTCE Math: Sampling in Statistics

The subject of this chapter is sampling statistics. Increase your knowledge by checking out the video lessons, transcripts and quizzes that are designed to add to and test your understanding as you prepare for FTCE Math questions.

## FTCE Math: Sampling Statistics - Chapter Summary

Explore the various kinds of sampling methods and determine how each one can be used to gather data. The lessons will differentiate between sampling methods and explain when it's best to use any particular technique. One lesson will clarify the law of large numbers, which can sometimes be confusing. Another lesson will highlight the importance of non-representative samples as well as non-response bias and voluntary bias in sampling. You can also learn about the two categories of biases. Check out this chapter in order to:

• Define and use the simple random sampling method
• Identify the conditions and measures of random sampling
• Describe the characteristics of stratified, cluster and systematic random samples
• Explain the law of large numbers
• Understand selection and response biases in statistics

Prepare for the FTCE Math examination with this chapter. The video lessons are ideal for those who like to learn through colorful animation and graphics, but they also contain material for learners who enjoy the reading aspect of learning. Bold terms are explained, sampling methods are detailed and interesting examples are provided in the written transcripts. The lessons are short, and you can learn as much information at a time as you're comfortable with. Experts provide the videos' narrative voices, and they'll answer the questions that you submit about sampling statistics.

7 Lessons in Chapter 37: FTCE Math: Sampling in Statistics
Test your knowledge with a 30-question chapter practice test
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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