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Gaston College · 4.0 credits · UGRD

This course provides a project-based approach to introductory statistics with an emphasis on using real-world data and statistical literacy. Topics include descriptive statistics, correlation and regression, basic probability, discrete and continuous probability distributions, confidence intervals and hypothesis testing. Upon completion, students should be able to use appropriate technology to describe important characteristics of a data set, draw inferences about a population from sample data, and interpret and communicate results.
Fall 2026 · 4 sections
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| D6BClass #099371 | M/T/W/Th/F/Sa/SuAug 24 – Dec 15 | Online Courses-Main Campus OL | Wandler, J |
| D8CClass #099392 |
| Robinson Classroom Bldg 238Online Courses-Main Campus OL |
| Mast, H |
| G8BClass #099421 | Tu Th · 11:35 AM – 12:50 PMM/T/W/Th/F/Sa/SuAug 24 – Dec 15 | Robinson Classroom Bldg 237Online Courses-Main Campus LABOnline Courses-Main Campus OL | Boone, M |
|---|
| P6BClass #099459 | M/T/W/Th/F/Sa/SuSep 8 – Dec 15 | Online Courses-Main Campus CLASSOnline Courses-Main Campus LAB | Broome, T |
|---|