| Grade Range: |
| | 10–12 |
| Prerequisites: |
| | Integrated Math II A-B |
| Course duration: |
| | Two semesters |
| Subject area in which graduation credit will be given: |
| | Mathematics: Intermediate |
| UC subject area satisfied: |
| | c - Mathematics |
|
| Course Description: |
| | This course is the first in a two-course sequence. This sequence is equivalent to an introductory, non-calculus-based college course in data science and statistics. The initial course emphasizes the High School Common Core State Standards for Statistics and Probability that involve the study of Data Science, as well as AP Statistics and Probability Standards. By the end of the course, students will be prepared to explore quantitative and categorical data using numerical and visual summaries with the use of R; to model variation in categorical and quantitative data using the General Linear Model; and to compare and evaluate models in terms of effect size and probabilities. |
| State Course Code(s): |
| | 9259 - Probability and Statistics (Non-Advanced Placement) |
| Basic Texts and Teaching Guides: |
| | Son J, Stigler J, 2020, Introduction to Statistics: A Modeling Approach (Open Education Resources) |