Today was the final exam for the course. Students have 90 minutes to complete the final.
The structure of the final is a series of three scenarios. The scenarios combine elements of data collection and analysis. There is one scenario that is an experiment, one that is an observational study, and one that is a sample survey. These are matched against analysis techniques: simulation, resampling redistribution, and bootstrapping.
The student picks one of the three scenarios to complete. To discourage students from picking multiple scenarios and hoping for the best, I tell students that if they respond for more than one scenario, I will score the worst response.
Each scenario requires the student to state a null and alternative hypothesis for the question of interest, to describe how they would structure their data collection, to generate a random data set given the analysis technique, to create 5-number summaries and graphs, to analyze data from an inferential perspective, to draw an appropriate conclusion, and to summarize what the big ideas of inferential statistical analysis.
The exam took most students between 60 and 80 minutes to complete. Two students in 40 minutes and one took the full 90 minutes.
Students felt the exam accurately reflected what they learned. As in past years students felt the exam was hard but fair.
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