Statistics for Biologists
EEB 355
1244
1244
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Biologists use a variety of statistical approaches to draw robust conclusions from noisy real-world data. This course covers the fundamental ideas behind these approaches, as well as the tools needed to apply them in practice, using the programming language R. We will discuss methods for describing and visualizing data, quantifying uncertainty, and distinguishing meaningful effects from random noise. A major goal of the course is to prepare students for analyzing their own data.
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Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 23
- Capacity: 24
- Class Number: 42636
- Schedule: MW 01:30 PM-02:50 PM - Jadwin Hall 303
Section P01
- Type: Precept
- Section: P01
- Status: C
- Enrollment: 12
- Capacity: 12
- Class Number: 42637
- Schedule: Th 10:00 AM-10:50 AM - Guyot Hall 154
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 11
- Capacity: 12
- Class Number: 42638
- Schedule: Th 03:30 PM-04:20 PM - Guyot Hall 154
Section P99
- Type: Precept
- Section: P99
- Status: C
- Enrollment: 0
- Capacity: 0
- Class Number: 42639