The University of Texas at Austin 3 credits Statistics and Data Sciences
Introduction to the fundamental ideas of statistical thinking with R programming. Explore survey, experimental, and observational study design; common sources of random and systematic error in data; the bootstrap as a tool for quantifying uncertainty; hypothesis testing; regression; and the role of statistics in an ethical and just society. The equivalent of three lecture hours a week for one semester. Pre/Corequisites: Statistics and Data Sciences 313 with a grade of at least C-.
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