Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

Office Hours: Wednesdays 12:30-13:20 or by appointment (make use of office hours - only send email in emergencies). If nobody shows up within the first 10 minutes of my office hour, then I may go ...

Lectures: Mondays, Wednesdays and Fridays - 9:30am in WMC3520 (Sept 3/13 - Dec 2/13) Office Hours: Mondays, Wednesdays and Fridays 10:30-11:30, Sept 13/13 - Dec 15/13 ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. This is an introductory course on statistics and how it can help ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Basic statistical concepts presented with emphasis on their relevance to biological and medical investigations. Evaluation is through problem sets, quizzes embedded within asynchronous videos, use of ...

PROF. USPENSKY'S treatise on mathematical probability is a very comprehensive one and includes every theoretical aspect of the subject, with several chapters on modern developments. Only those ...

An animated guide to probability explains how to express probability as fractions and percentages based on the ratio of the number of ways an outcome can happen and the total number of outcomes.