Fall 2024 Course Offerings

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

Info current as 12/3/2024
Days Times Room Meeting Dates Instructor
MW  2:00 PM  -  3:50 PM  Bell Tower 1704 8/24/2024 - 12/14/2024 Anna Tivy

Status: Open
Class Number: 1430
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: 18
Available Seats: 7
Wait List Capacity: 10
Wait List Total: 0

Textbook / Other Materials

Status: Required
ISBN: 9780135900888
Title: MyLab Statistics with Pearson eText -- 18 Week Sta
Publisher: Pearson
Author: Triola

More textbook information including prices

Enrollment Information

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

Notes

Linked Course
This section is reserved for students needing additional math support. Students enrolled in this section will be required to enroll in Math 97 Section 01.
Cross-listed course