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Statistics courses may carry social science or science credit. Statistics courses may not be audited.

STAT 202-DL : Introduction to Statistics and Data Science

Description

This course provides an introduction to probability and statistics theory and foundational data science applications. The focus will be on the analysis of data using computer software, and the approach is is conceptual—the goal is for students to understand, not to memorize. Important concepts include samples versus populations, normal curves and the central limit theorem, sampling distributions, standard errors, statistical inference, correlation and regression, t-tests, analysis of variance (ANOVA), and the chi-squared test. The replication crisis in science and how bad statistics helped cause it will also be discussed. There are no formal prerequisites for this course. Recommended skills include comfort with basic algebra and some experience with spreadsheet software, such as Microsoft Excel or Google Sheets.

This course is conducted completely online. A technology fee will be added to tuition.

Additional Information:

Science or Social Science distribution course for BSGS, BPhil, or BPhilComm degrees. Scientific Inquiry and Quantitative Reasoning distribution course for BS degrees.