Data Analysis, Probability and Statistics

Catalog description

The course aims to develop a deep and flexible understanding of basic data analysis (probability and statistics) concepts and applications. Topics include descriptive statistics such graphs (histograms, box plots), two-way tables, and summary statistics (mean, median, mode, standard deviation, range) to describe data, sampling and study design, probability distributions, conditional probability, combinations, permutations, expected value and introduction to inference. Students will use technology such as spreadsheets to explore and analyze data sets.