Experimental Statistics I
Credit Hours: 3.00. Concepts and methods of applied statistics. Exploratory analysis of data. Sample design and experimental design. Normal distributions. Sampling distributions. Confidence intervals and tests of hypotheses for one and two samples. Inference for contingency tables, regression and correlation, and one-way analysis of variance. Use of the SAS statistical software. Intended primarily for students who have not had calculus. Not open to students in mathematical sciences or engineering. For statistics majors and minors, credit should be allowed in no more than one of , , STAT 50100, and in no more than one of and . Prerequisite: College Algebra. Typically offered Fall Spring Summer.
This course is offered by the Department of Statistics (Graduate)