200
The basic course in statistical inference oriented toward the elements of description, estimation, and the testing of hypotheses. Topics include probability distributions, confidence intervals, tests of means, proportions, and differences, correlation and regression, analysis of variance, and chi-square tests of qualitative data. Principles are applicable to both social and physical sciences.
Students on an F-1 visa are eligible to work off campus to provide additional experience so long as the employment relates directly to the student's major area of study. The practical experience gained outside the traditional classroom supplements the theoretical and/or applied knowledge as a part of the student's coursework. The registration process for this course must be completed every term (including summers), as students must have their work authorization reissued each term to ensure continued enrollment. Jobs must be approved and verified by the International Programs Office before work may begin.