This course is an introduction to data analysis making use of graphical and numerical techniques to study patterns and departures from patterns. The student studies randomness with an emphasis on understanding variation, collects information in the face of uncertainty, checks distributional assumptions, tests hypotheses, uses probability as a tool for anticipating what the distribution of data may look like under a set of assumptions, and uses appropriate statistical models to draw conclusions from data. The course introduces the student to applications in engineering, business, economics, medicine, education, social sciences, psychology, the sciences, and those pertaining to issues of contemporary interest. The use of technology (computers or graphing calculators) will be required in certain applications. Where appropriate, the contributions to the development of statistics by men and women from diverse cultures will be introduced. This Statistics course is a required lower-division course for students majoring or minoring in many disciplines such as data science, nursing, business, and others.
|11:00 AM-01:15 PM
Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2024-01-08 to 2024-03-29.
MATH 10.15: Fully ON-CAMPUS. This class meets on-campus each week on scheduled days and times as noted in the class listing.
- 5 Units
- Weekly Lecture Hours: 5
- Weekly Lab Hours: 0
- Gen Ed
- General Education Class
- Program Status
- Program Applicable
- Credit - Degree Applicable
- Grading Method
- Letter Grading
General Course Statement
- General Statement
- See general education pages for the requirements this course meets.
Requisite and Advisory
- ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for EWRT D001A or EWRT D01AH or ESL D005.
- Intermediate algebra or equivalent (or higher), or appropriate placement beyond intermediate algebra
Limitations on Enrollment and Entrance Skills
- Limitations on Enrollment
- Not open to students with credit in the Honors Program related course.