Students should develop effective thinking and communication skills.
Students should learn to link applications and theory.
Students should learn to use technological tools.
Students should develop mathematical independence and experience open-ended inquiry.
In addition, students should be able to:
Describe data sets using appropriate numerical and graphical techniques
Develop mathematical tools necessary to perform statistical calculations and to understand distributions and statistical theory
Design experiments and survey sampling methods that allow results to be statistically analyzed to test hypotheses
Determine which statistical analyses are suitable, perform the analyses using technology, and assess the validity of necessary assumptions and interpret the results
Construct and apply probability models for both discrete and continuous random variables; and communicate with non-statisticians in written and oral formats to learn what a client is interested in ascertaining and to present the results from a statistical analysis
Construct and verify mathematical proofs
Discuss properties of estimators and explain the rationale and assumptions behind statistical procedures
Apply stochastic models to solve real-world problems
Degree Requirements
See the “Degree Requirements” in the University Catalog for complete details on general degree requirements.
General Education Requirements (48 units)
See the “General Education Program” requirements in the University Catalog for information on General Education requirements. Some major requirements may double count for GE requirements.