3 credits
Spring 2026 Lecture Distance Learning Upper Division
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 30100, STAT 30301, STAT 35000, STAT 35500, STAT 50100, and in no more than one of STAT 50300 and STAT 51100. Prerequisite: College Algebra.
Learning Outcomes1Produce and identify basic statistical analyses.
2Discuss statistical terminology (speak statistics).
3Use SAS to run basic statistical analyses and interpret corresponding SAS output.
Restrictions
made by Purdue students.