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Class number:
1769
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Title: Statistical Data Analysis |
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Department: Mathematics |
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Career: Undergraduate |
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Component: Lecture |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 29 |
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Current enrollment: 29 |
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Available seats: 0 |
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Start date: Wednesday, January 25, 2023 |
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End date: Friday, May 12, 2023 |
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Mode of Instruction: In Person |
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Schedule: MWF: 10:00AM-10:50AM, MECC - 246 |
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Instructor(s): Johnston, Daniel |
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Prerequisite(s): Prerequisite: A suitable score on the Mathematics Placement Examination or a grade of C- or better in Mathematics 107 or 127. |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
An introductory course in statistics emphasizing modern techniques of data analysis: exploratory data analysis and graphical methods; random variables, statistical distributions, and linear models; classical, robust, and nonparametric methods for estimation and hypothesis testing; analysis of variance and introduction to modern multivariate methods. Those who successfully complete Math 107 may take Math 207 for credit due to its increased depth of coverage and breadth of topics. At the discretion of the Mathematics Department, section enrollments may be balanced. |