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Direct linkLübke, Karsten; Gehrke, Matthias; Horst, Jörg; Szepannek, Gero – Journal of Statistics Education, 2020
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…
Descriptors: Inferences, Simulation, Attribution Theory, Teaching Methods
Grover, Burton L.; Post, Richard L. – 1984
The Arlington, Washington, School District--a mostly rural district with enrollment of 2,790--conducted a survey of its public using both blanket mailing and random sampling procedures in order to compare the views of the total population with the views of the typically small percentage who mail back a questionnaire. The questionnaire contained 29…
Descriptors: Community Attitudes, Community Surveys, Comparative Analysis, Data Interpretation
