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Students will be able to recognize and describe variability in data, summarize numerical data sets in context, and represent data using appropriate graphical displays. They will understand and apply measures of center and spread to describe data distributions.

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How can we describe and interpret data using measures of central tendency and variability?

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Task 1: Data Collection and Initial Analysis

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Task 1: Data Collection and Initial Analysis

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Students will collect data by surveying their classmates on a chosen topic of health tracking (hours of sleep per night or hours of exercise per day) and organize their data into a table.

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Use this worksheet to organize your collected data.

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Data collection worksheets; students collect real world data and make bar charts or line graphs from it. Free | Worksheets | Grade 2 | Printable

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Students will create a graphical representation of their data (dot plot, histogram, or box plot) and describe its shape, center, and spread.

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Watch this video to learn about creating dot plots, histograms, and box plots.

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Work in small groups to represent your data using different types of graphs and discuss which graph best represents your data and why.

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Create your own data set and choose the best graphical representation for it. Write a short justification for your choice.

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Challenge yourself by finding another data set online and analyzing its variability and distribution.

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Observe and discuss with students as they collect and analyze data to ensure understanding.

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Complete this quiz to test your understanding of data distributions and measures of center and spread.

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Discuss as a class: What have we learned about data distributions and variability? How can we apply this knowledge to real-world scenarios?

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Write a summary of what you learned today and one question you still have.

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Complete this worksheet to reinforce your understanding of data distributions.

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Play this online game to practice identifying types of data distributions and measures of variability.