Standard Unwrapping

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Vocabulary
numeric datanumerical summariesmeanmedianmeasures of centerrangeinterquartile rangeIQRmeasures of spreadcenterspreadshapedata distribution
Skills
  • summarize (numeric data with numerical summaries) #dok2
  • calculate (mean and median as measures of center) #dok2
  • calculate (range and interquartile range as measures of spread) #dok2
  • describe (center, spread, and shape of data distribution using summaries) #dok3
Learning Targets
  • I can calculate the mean and median for a set of numeric data as measures of center. #dok2
  • I can calculate the range and interquartile range (IQR) for a set of numeric data as measures of spread. #dok2
  • I can summarize numeric data by identifying mean, median, range, and interquartile range. #dok2
  • I can describe the center, spread, and shape of a data distribution using appropriate numerical summaries. #dok3
  • I can interpret what the measures of center and spread tell us about the data set. #dok3
Big Ideas
  • Numerical summaries such as mean, median, range, and interquartile range help us interpret the characteristics of a set of data.
  • Describing the center, spread, and shape of data distributions allows us to better understand and compare different data sets.
Essential Questions
  • How do mean and median help describe the center of a data set?
  • Why are range and interquartile range important when analyzing the spread of data?
  • What can measures of center and spread tell us about the overall distribution of data?
  • How does the choice of summary measure affect our understanding of the data?
  • In what situations might you prefer to use median over mean (or vice versa) when summarizing data?