MATH 232
Fall 2007 not offered
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This is the second course of a two-semester sequence; MATH231 is a prerequisite for this course. Both courses are devoted to the ideas we use to treat random phenomena and not to computational proficiency, which can be learned in other places and is adequately treated using computer packages. The two basic concepts of this course are sample and statistical model; these are used to investigate the main statistical ideas used for decision making: bootstrapping, estimators, confidence intervals, and tests. The key ideas of maximum likelihood and sufficiency will be thoroughly discussed. |
Essential Capabilities:
None |
Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
Course Format: Lecture / Discussion | Grading Mode: Graded |
Level: UGRD |
Prerequisites: MATH231 |
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Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATA-MN)(IDEA-MN)(MATH)(NS&B) |
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