Lesson plan

Recognize data as quantitative in nature and appropriately graph the data by using boxplots

teaches Common Core State Standards CCSS.Math.Content.HSN-Q.A.1 http://corestandards.org/Math/Content/HSN/Q/A/1
teaches Common Core State Standards CCSS.Math.Content.HSS-ID.A.1 http://corestandards.org/Math/Content/HSS/ID/A/1
teaches Common Core State Standards CCSS.Math.Practice.MP4 http://corestandards.org/Math/Practice/MP4

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Big Ideas: Quantitative data can be represented graphically by using a boxplot. There are two types of boxplots - standard boxplot & modified boxplot. One way to determine outliers is to apply the 1.5 IQR rule. We can use a data set’s 5 number summary to construct a boxplot. The lesson builds on students’ previous work in 6th grade with quantitative data. The task will ask students to organize quantitative data, determine 5 number summaries, identify outliers, and construct boxplots to represent a data set. Students should understand the idea of quartiles as well as measures of center and spread such as median, range, and IQR. Students should also understand how to calculate outliers using the 1.5 IQR rule. Vocabulary: univariate, quantitative, boxplot, interquartile range, range, quartile, median Special Materials: • 8.5 x 11” sheet of paper per child (for folding into a paper airplane) • Airplane folding instructions (if necessary) • Long measuring tape (to mark out distances on floor) • Masking tape (for throwing/starting line and marking out distance increments on floor)