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.
|01250||MATH 10||45Y||·T·····||06:30 PM-08:45 PM||Lisa Markus||S16|
Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2023-01-09 to 2023-03-31.
Limitation(s) on Enrollment: Not open to students with credit in the Honors Program related course
General Course Statement(s): See general education pages for the requirements this course meets
MATH-010.-45Y: HYBRID, Meets on-campus and online. This class meets each week on campus and online as noted in the class listing. Students must have access to a computer, the internet and an individual email address. This class will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/onlineed/students/remotelearning .
- 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
Requisite and Advisory
- Intermediate Algebra (MATH D109., MATH D114. or MATH D130.) or equivalent
- EWRT D211. and READ D211., or ESL D272. and D273.