0.00 - 4.00 Credits
Prerequisite: Mathematics 110 or satisfactory performance on the quantitative literacy assessment. The course develops the analytical skills necessary in the collection, organization, visualization, and interpretation of data. Topics include statistical inference for a single proportion, single mean, comparison of two proportions, comparison of two means, and correlation and regression. In addition to theory-based methods, the course develops probabilistic intuition and statistical reasoning through use of simulation to conduct randomization tests. Emphasis is given to how study design and data collection determine the scope of inference. The laboratory component emphasizes the use of statistical software for data analysis and visualization.