Elementary Statistics
MATH 132
Spring 2027
| Section:
01
02
03
04
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Topics included in this course are organizing data, central measures, measures of variation, distributions, sampling, estimation, conditional probability (Bayes' theorem), hypothesis testing, simple regression and correlation, and analysis of variation. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: None |
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Fulfills a Requirement for: (Applied Data Science Certificate)(Biology)(Education Studies Minor)(Education Studies)(Informatics and Modeling Minor)(Molecular Biology and Biochemistry)(Neuroscience and Behavior)(Psychology) |
| SECTION 01 | | Special Attributes: CQC |
| Instructor(s): Constantine,David Times: .M.W.F. 10:50AM-11:40AM; Location: TBA |
| Total Enrollment Limit: 35 | | SR major: 0 | JR major: 0 | | |
| | GRAD: X | SR non-major: 2 | JR non-major: 2 | SO: 13 | FR: 13 |
| SECTION 02 | | Special Attributes: CQC |
| Instructor(s): Leidy,Constance Times: .M.W.F. 09:50AM-10:40AM; Location: TBA |
| Total Enrollment Limit: 30 | | SR major: 0 | JR major: 0 | | |
| | GRAD: X | SR non-major: 0 | JR non-major: 1 | SO: 14 | FR: 15 |
| SECTION 03 | | Special Attributes: CQC |
Instructor(s): STAFF
Times: .M.W.F. 08:50AM-09:40AM; Location: TBA |
| Total Enrollment Limit: 19 | | SR major: 0 | JR major: 0 | | |
| | GRAD: X | SR non-major: 0 | JR non-major: 0 | SO: 9 | FR: 10 |
| SECTION 04 | | Special Attributes: CQC |
Instructor(s): STAFF
Times: .M.W.F. 08:50AM-09:40AM; Location: TBA |
| Total Enrollment Limit: 19 | | SR major: 0 | JR major: 0 | | |
| | GRAD: X | SR non-major: 0 | JR non-major: 0 | SO: 9 | FR: 10 |
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