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Class number:
3219
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Title: Statistics for Life Sciences |
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Department: Neuroscience |
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Career: Undergraduate |
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Component: Seminar |
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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 19 |
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Current enrollment: 19 |
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Available seats: 0 |
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Start date: Tuesday, September 2, 2025 |
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End date: Wednesday, December 17, 2025 |
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Mode of Instruction: In Person |
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Schedule: TR: 8:00AM-9:15AM, CCAN - 121 |
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Instructor(s): Ruskin, David |
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Prerequisite(s): None |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
This rigorous course is geared towards life science students and emphasizes applied statistical concepts, such as using simple experimental design, data collection and analysis, and presentation of results. Students will also gain knowledge of R computing software. The topics covered include probability, descriptive statistical methods (such as measures of central tendency and variance), and graphical presentations, all calculated using R. Elementary probability, inferential statistics and statistical tests are reviewed (estimation, hypothesis testing, sample size, power). |