Standard Unwrapping

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Vocabulary
populationsdatarandom samplesdifferencescomparative inferences
Skills
  • compare (two populations based on data from random samples) #dok2
  • make (informal comparative inferences about differences between two populations) #dok3
  • interpret (data in random samples) #dok2
  • analyze (differences between two populations using sample data) #dok3
Learning Targets
  • I can identify data in random samples from two populations. #dok1
  • I can organize data from random samples for comparison. #dok1
  • I can compare two populations based on data from their random samples. #dok2
  • I can interpret the meaning of differences found between two population samples. #dok2
  • I can draw informal comparative inferences about differences between two populations using sample data. #dok3
  • I can justify my inferences regarding population differences based on sample data. #dok3
Big Ideas
  • Comparing populations through sampling allows us to make evidence-based inferences about group characteristics.
  • Understanding and interpreting data from random samples helps us make informed decisions about real-world populations.
Essential Questions
  • How can you use data from random samples to compare two populations?
  • What does it mean to make an informal inference about the difference between two populations?
  • How can the results from random samples reflect actual population differences?
  • What challenges might you encounter when interpreting data from random samples?
  • Why is it important to use random samples when making comparisons between populations?