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MATH 341 - Statistical Methods (3).
Description: A survey of common statistical methods including: data organization and summary; probability & common probability models used in statistical analysis; point estimation, confidence intervals and hypothesis testing for one- and two-sample problems; simple linear regression and correlation; introduction to categorical data analysis; use of commercial grade statistical software (e.g., SAS). Notes: Offered in fall. Prerequisites: MATH 105 or MATH 201.
3.000 Credit hours
3.000 Lecture hours
0.000 Lab hours
0.000 Other hours

Levels: Undergraduate
Schedule Types: Independent Study/Research, Lecture

Mathematics Department

Course Attributes:
Logic Language and Semiotics, Quantitative Skills Req


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Release: 8.7.2.4