Statistics for Social Sciences

Statistics built for people who'll spend their careers reasoning about survey data, polls, and social experiments rather than physics labs — the goal is learning to move from a messy spreadsheet to a defensible claim about a population. You'll work through descriptive summaries, probability, and the standard inferential machinery (sampling distributions, confidence intervals, one-sample hypothesis tests), with homework and exam problems backed by McGraw-Hill CONNECT and some software practice. It's the quantitative backbone for econ, psych, and IR electives downstream, and the place where terms like p-value and Central Limit Theorem stop being jargon and start being tools you actually use.