This course will provide an introduction to fundamental statistics
concepts. Statistical methods will be discussed with an emphasis on
data-based critical thinking and decision making. Key to statistics is
the ability to clearly convey findings in context, including
uncertainty. Using statistics to learn from data is necessary for nearly
every field.
Learning objectives
Upon successful completion of the course, students should be able
to:
- identify basic patterns and limitations of empirical data
- conduct hypothesis tests for population parameters
- check model assumptions
- evaluate the significance of their findings and the strength of the
evidence
- present their analysis and findings in context without statistical
jargon
Typical Weekly Schedule
Monday
- Catalina’s office hour 10 - 11am on Zoom (class Zoom link on
Canvas)
- Lecture video quiz due on Canvas at 11:59pm on
Tuesday
- In person lecture 1 - 3:50pm in ICS 180
- HW due on Gradescope at 11:59pm
Wednesday
- In person discussion 4 - 4:50pm in DBH 1500
- Lecture video quiz due on Canvas at 11:59pm on
Thursday
- In person lecture 1 - 3:50pm in ICS 180
- HW released
Friday
- Roy’s office hour 3 - 4pm on Zoom (class Zoom link on Canvas)