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Formulate questions that can be addressed with data. Collect, organize, and display relevant data to answer the questions formulated.
Model and solve real-world problems involving patterns using recursion and iteration, growth and decay, and compound interest.
Understand how basic statistical techniques are used to monitor process characteristics in the workplace.
Understand the differences among various kinds of studies and which types of inferences can legitimately be drawn from each.
Construct simulated sampling distributions of sample proportions and use sampling distributions to identify which proportions are likely to be found in a sample of a given size.