Student Learning Outcomes
1. Basic probability concepts and skills in working with basic probability formulas
2. Working knowledge of one computing technique from the list: MATLAB, MINITAB, R, SAS, and SPSS and the interpretation of its computing outputs
3. Data analysis ability in one of the following subjects: regression analysis, design of experiment, survey sampling, contingency table, engineering statistics, stochastic processing and time series analysis
4. Statistical application in one of the following areas: biology, computer science, earth science, environmental science, communications, economics, engineering, forestry, geography, public affairs, political science, management, psychology, and sociology and social work