Course Detail

Units:

3.0
Course Components:

Lecture

Description

The students in this course will see real-world data sets, understand what makes a data set good or bad for answering the question at hand, appreciate variability, and see quantification and explanation of variability via statistical models. This course will center around statistical concepts and real-world case studies, and will make use of technology in an active learning environment. The topics covered are: formulation of statistical questions, exploration and display of univariate (bivariate) data sets; bivariate measurement data (scatter plots, association, simple linear regression, correlation); introduction to the use of randomization and simulation in data production and inferential reasoning; and introduction to probability from a relative frequency perspective, including additive and multiplicative rules, conditional probability an independence.