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Bradley University · 3 credits · UGRD

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 and selected applications. Additionally, statistical software will be used with an emphasis on interpretation and evaluation of statistical results.
Fall 2026 · 5 sections
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #26FA-MTH-111-01 | Time not published | Not published | Not published |
| 03Class #26FA-MTH-111-03 | Mo We Fr · 2:00 – 2:50 PMAug 26 – Dec 19 |
| Not published |
| 04Class #26FA-MTH-111-04 | Time not published | Not published | Not published |
|---|
| 05Class #26FA-MTH-111-05 | Tu · 10:30 – 11:45 AMAug 26 – Dec 19 | BR 225 | Larry Xue |
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| 06Class #26FA-MTH-111-06 | Time not publishedAug 26 – Dec 19 | ONL ONL | Sheryl Davis |
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