Statistical Methods in Engineering and the Physical Sciences
Fee may apply
Statistics is the science that deals with gathering, classifying, analyzing, and interpreting data. Statistics helps us turn data into information to see the relationship between variables—or the "big picture." This course is an introduction to statistics with an emphasis on modern engineering applications. Students explore concepts of probability theory, discrete and continuous random variables, bivariate probability distributions, categorical data analysis, and model building.
Students who take this course for 5 units will have more mandatory homework problems than those who take it for 4 units.
- Nina Miolane
One year of calculus
- Descriptive statistics
- Interval estimation
- Tests of hypotheses
- Nonparametric methods
- Linear regression
- Analysis of variance
- Elementary experimental design
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
|Dates:||June 25 - August 16, 2018|
|Days:||Mon, Tue, Wed, Thu, Fri|
|Times:||10:30 am - 11:20 am|
Provides Stanford University credit that may later be applied towards a graduate degree or certificate. Includes access to online course materials and videos for the duration of the academic quarter. Starting Autumn 2016 there is a $100 fee per course for courses dropped before the drop deadline. Click here for more information about our Registration Policies.
Enrollment Dates: April 8 to June 18, 2018