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UNIT 1: ONE-VARIABLE DATA
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Pacing: 5 weeks
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Stage 1 Desired Results
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Established Goals:
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ID.A.1: Represent data with plots on the real number line (dot plots, histograms, and box plots).
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ID.A.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
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ID.A.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
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Transfer
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Students will be able to independently use their learning to….
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Meaning
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Understandings
Students will understand…
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Outliers affect measures of center. This can have an impact on choosing the most effective measure of center to use in specific scenarios.
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The type of display to use based on the type of data.
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The difference between categorical and quantitative data.
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Essential Questions
Students will keep considering…
- What are measures of central tendency, and how do they help summarize data?
- How can visual representations enhance or prohibit our understanding of one-variable statistics?
- What are the different graphical representations suitable for one-variable data, and how do they aid in interpretation?
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Acquisition
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Students will know…
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Vocabulary associated with one variable statistics.
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The 6 different ways to display one-variable data (frequency table, histogram, ogive, stemplot, dotplot, boxplot).
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Students will be skilled at…
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