MATH 202 - Biostatistics

Description

Hours: Three hours lecture per week Description: Critical reasoning using a quantitative and statistical problem-solving approach to solve real-world problems. Uses probability and statistics to describe and analyze biological data collected from laboratory or field experiments. Course will cover descriptions of sample data, probability and empirical data distributions, sampling techniques, estimation and hypothesis testing, ANOVA, and correlation and regression analysis. Students will use standard statistical software to analyze real world and simulated data.

Meeting Information

Status: Closed
Class Number: 1434
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/24/2024 - 12/14/2024
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 25
Available Seats: 0
Wait List Capacity: 10
Wait List Total: 2

Enrollment Information

• Lower Division
• B4: Math - Quantitative Reason
• Includes any In Person Meeting

Notes