Problem-Based Probability & Statistics for Secondary Teachers

(3 semester hours)

Course topics include: theoretical and experimental probabilities, simulation of random phenomena, probability of the union and intersection of two events, probability of the complement of an event, conditional probability including dependent and independent events, and geometric approaches to probability. Key elements of data analysis include: measures of central tendency and dispersion, correlation and regression, prediction and error, random variables, expected value of a random variable, and counting techniques including permutations and combinations. Dynamic statistics software (Fathom™) is used throughout the course. Students are introduced to basic learning theory for probability and statistics concepts as well as learning mathematics content though cooperative learning, guided discovery, and inquiry models.