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Class number:
3155
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Title: Statistic 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: 13 |
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Available seats: 6 |
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Start date: Monday, January 22, 2024 |
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End date: Friday, May 10, 2024 |
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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): Swart, Gayna |
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Prerequisite(s): None |
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Distribution Requirement: Meets Numerical & Symbolic Reasoning Requirement |
Course Description:
This course is geared towards neuroscience students and emphasizes interactive, hands-on research projects, using simple experimental design, data collection and analysis, and presentation of results. Descriptive statistical methods are reviewed, including measures of central tendency, variance and graphical presentation and calculated using student-collected data. Elementary probability and inferential statistics are reviewed (estimation, hypothesis testing, sample size, power) and calculated using SPSS. Research projects will be presented. The class will meet three times per week in a computer lab. |