Catalog Description
This course is an introduction to statistical thinking and processes, including methods and concepts for discovery and decision-making using data. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-squared, and t-tests; and application of technology for statistical analysis, including the interpretation of the relevance of the statistical findings. Students apply methods and processes to applications using data from a broad range of disciplines.
Section Notes
This 17.5-week class requires the use of Canvas and an internet-enabled device. All class sessions will occur in person at the Ocean Campus. In this section, students have the opportunity to learn some Python programming and apply their skills in homework assignments and activities. Knowledge of Python is not required - all are welcome!
Learning Outcomes