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MATH 341H - 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:
Quantitative Skills Req

Prerequisites:
Prerequisite for MATH 341

General Requirements:
Course or Test: MATH 202
Minimum Grade of D-
May not be taken concurrently.
Prerequisites:
Honors eligible (SAT or GPA)

General Requirements:
HONR Y
May be taken concurrently.

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Release: 8.7.2.4