Understanding Sampling Methods and Study Types in Statistics

Dec 17, 2025

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This lesson explores the four types of sampling: Simple Random, Systematic, Stratified Random, and Cluster Sampling. It further distinguishes between two types of studies—Observational and Experimental—with clear definitions and examples. Students will learn key vocabulary, including explanatory variable, response variable, treatment, confounding variable, and more. To solidify understanding, complete the assignment, create flashcards, and utilize the Quizlet app (search 'unit 4 math 3 data analysis') for interactive learning and assessments.

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Understanding Sampling Methods and Study Types in Statistics

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Math III Warm Up 4/3/14 • What are the differences between the 4 types of sampling? • What are the 2 types of studies and how are they defined?
Stat Vocab • Bias questions: • Simple Random Sample: • Systematic Sample: • Stratified Random Sample: • Cluster Sample:
Stat Vocab • Observational study: • Experimental Study: • Explanatory variable: • Response variable: • Treatment: • Convenience Sampling: • Voluntary response: • Experimental unit: • Confounding variable:
How to review: • Complete the assignment for today (1/2 sheet) • Make your own flash cards and such • Get the Quizlet app and search: unit 4 math 3 data analysis • Go to http://quizlet.com/39989009/data-analysis-flash-cards/ • On Quizlet you can use flashcards, take assessments, or “learn” the vocab.