STAT.MATH.2.B
Distinguish among observational studies, surveys, and experiments.
Statistics · Texas Essential Knowledge and Skills (TEKS) · TEKS 2012
Standard Unwrapping
AI-generated as a starting point — sign in to edit.Vocabulary
observational studiessurveysexperiments
Skills
- distinguish (types of statistical studies: observational studies, surveys, experiments) #dok2
- compare (features of observational studies, surveys, and experiments) #dok2
- identify (examples of observational studies, surveys, and experiments) #dok1
- classify (a research scenario as an observational study, survey, or experiment) #dok2
Learning Targets
- I can identify an observational study, survey, or experiment from a description. #dok1
- I can distinguish among observational studies, surveys, and experiments based on their characteristics. #dok2
- I can compare the strengths and limitations of observational studies, surveys, and experiments. #dok2
- I can classify a real-world scenario as an observational study, survey, or experiment. #dok2
- I can justify my reasoning for categorizing a research investigation as an observational study, survey, or experiment. #dok3
Big Ideas
- Different types of statistical studies—observational studies, surveys, and experiments—are used to collect data and answer questions, each with unique strengths and limitations.
- Understanding the distinctions among observational studies, surveys, and experiments is essential for interpreting research findings and designing valid investigations.
Essential Questions
- What are the defining features of observational studies, surveys, and experiments?
- How can you tell the difference between an observational study, a survey, and an experiment when examining a research scenario?
- Why is it important to know which type of study was used in a research investigation?
- In what situations might a survey be more appropriate than an experiment, or vice versa?
- What impact might the type of study have on the conclusions you can draw from the data?