Standard Unwrapping

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Vocabulary
situationsdatavariability
Skills
  • distinguish (between situations that yield data with and without variability) #dok2
  • analyze (data to determine presence or absence of variability) #dok2
  • describe (types of data: with variability, without variability) #dok1
Learning Targets
  • I can define what variability in data means. #dok1
  • I can describe examples of data sets that have variability and those that do not. #dok1
  • I can distinguish between situations that yield data with and without variability. #dok2
  • I can analyze real-world scenarios to determine if the data collected will have variability. #dok2
Big Ideas
  • Data can either change (show variability) or be constant (show no variability) depending on the situation.
  • Being able to recognize when data will vary helps us ask better questions and interpret results more accurately.
Essential Questions
  • What does it mean for data to have variability?
  • How can we tell if a data set has variability or not?
  • Why is it important to know if a situation will yield variable or non-variable data?
  • What are some examples of situations that produce data with variability, and without variability?
  • How does recognizing variability in data help us make better decisions?