Ch 2: Sampling Methods in Statistics

Study simple and stratified random sampling methods, convenience sampling, the law of large numbers and more with the help of this chapter's statistics video lessons. Multiple-choice quizzes are also included to check your understanding of these topics.

Sampling Methods in Statistics - Chapter Summary and Learning Objectives

Watch this chapter's illustrated video lessons to get some help identifying the advantages and disadvantages of various population sampling methods - including simple, cluster and systematic random sampling techniques - as well as when and how to use them. Lessons in this chapter can teach you about the following:

• Random sampling methods
• Convenience sampling techniques
• The law of large numbers

Video Objective
Simple Random Samples: Definition & Examples Explore the uses of this data collection method.
What Is Random Sampling? - Definition, Conditions & Measures Discover the benefits and drawbacks of selecting random samples.
Convenience Sampling: Definition & Limitations Identify the shortcomings of this sampling method.
Stratified Random Samples: Definition, Characteristics & Examples Study stratified random sampling methods and the ideal conditions for their use.
Cluster Random Samples: Definition, Selection & Examples Learn what sets cluster sampling apart from stratified random sampling.
Systematic Random Samples: Definition, Formula & Advantages Explore the processes involved in selecting a systematic random sample.
Understanding the Law of Large Numbers Find out how the law of large numbers applies to statistics.

10 Lessons in Chapter 2: Sampling Methods 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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