MidtermPractice1.pdf - Study guide for first midterm exam...

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Study guide for first midterm exam Joshua Loftus Suggested studying practices: Read the lecture notes posted on the course page. You can mostly skip over R code, since there will be no coding on the exam . You might want to look at the output from the code, like for some of the plots, since that may help understand the given example. These notes should be sufficient to answer any exam problems, but if you want additional reading to help with your understanding of the material in the notes see the next two references. Any topics covered in lectures may appear on the exam. This includes, but is not limited to: RCTs vs observational studies, summary statistics, probability definitions, addition and multiplication rules, conditional probability, independence, Bayes’ rule, Bernoulli and Binomial random variables, expectation and variance, and linearity. If you are referencing the textbook Statistics by Freedman, Pisani, and Purves, the relevant chapters for material we have covered so far are 1-4, 13-15, and sections 1-2 of chapter 18 (but note that they refer to probability distribution functions as “probability histograms”, a term we have not used).

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