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.
This class requires in-person meetings and the use of Canvas. There will be FIVE in-person meetings on 10/3, 10/17, 11/7, 11/21, and 12/12 from 11:10am - 1:00pm. Students will also complete coursework in Canvas, which must be accessed using an internet enabled device. This class is part of and is 12 Weeks. For course details, students must check the .