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Lesson Plan

Recognize bias in a sample by analyzing the design

teaches Common Core State Standards CCSS.Math.Practice.MP1 http://corestandards.org/Math/Practice/MP1
teaches Common Core State Standards CCSS.Math.Practice.MP3 http://corestandards.org/Math/Practice/MP3
teaches Common Core State Standards CCSS.Math.Practice.MP6 http://corestandards.org/Math/Practice/MP6
teaches Common Core State Standards CCSS.Math.Content.HSS-IC.A.1 http://corestandards.org/Math/Content/HSS/IC/A/1
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Big Ideas: Generating random samples requires a well developed plan. Random samples that are not well developed are biased and should not be used to make inferences about the population. This lesson will challenge students to look past the phrase ‘randomly selected’ to critique the design of a sampling method. While random selection is important in sampling design, students must also consider if the design of the sample accurately reflects the population. Vocabulary: simple random sample, systematic random sample, stratified random sample, bias Special Materials: calculator with random integer feature
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