"Focuses on statistical reasoning and the solving of problems using real-world data rather than on computational skills. Strong emphasis is on interpretation and evaluation of statistical results that arise from simulation and technology-based computations using technology such as the required TI83/84 Graphing Calculator with a built-in statistical package, and Microsoft Excel spreadsheets. Topics include data collection processes (observational studies, experimental design, sampling techniques, bias), descriptive methods using quantitative and qualitative data, bivariate data, correlation, and least-squares regression, basic probability theory, probability distributions (normal distributions and normal curve, binomial distribution), confidence intervals and hypothesis tests using p-values. This course is designed as a general survey of basic statistical methods. Emphasis is placed on methodology, and applications to biological, social, and management sciences are stressed to underscore the practicality of the material."
Recent sections
Fall 2026 · 7 sections
Section
Days & time
Location
Instructor
103WClass #66872
Days & timeTime not publishedAug 17 – Dec 11
LocationWeb/Online WEB
InstructorRayburn, E
102HClass #66873
Days & timeTh · 5:00 – 7:00 PM
Aug 17 – Dec 11
LocationWeb/Online WEBMary Miller Center 184
InstructorHardwidge, M
104WClass #66874
Days & timeTime not publishedAug 17 – Dec 11
LocationWeb/Online WEB
InstructorHardwidge, M
106WClass #66875
Days & timeTime not publishedOct 13 – Dec 11
LocationWeb/Online WEB
InstructorHardwidge, M
100Class #66884
Days & timeTu We Th Fr · 12:00 – 12:50 PMAug 17 – Dec 11
LocationMary Miller Center 173
InstructorRayburn, E
101Class #66885
Days & timeTu We Th Fr · 10:00 – 10:50 AMAug 17 – Dec 11
LocationMary Miller Center 173
InstructorRayburn, E
107Class #67043
Days & timeTu We Th Fr · 11:00 – 11:50 AMAug 17 – Dec 11