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 11/13/2024
Days Times Room Meeting Dates Instructor
TTH  6:00 PM  -  7:15 PM  Del Norte Hall 2555 8/22/2015 - 12/21/2015 Aleksandra Stuczynska

Status: Open
Class Number: 1752
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2015 - 12/21/2015
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 12
Available Seats: 12
Wait List Capacity: 5
Wait List Total: 0

Textbook / Other Materials

Status: Required
ISBN: 0321194365
Title: Biostatistics for the biological and health scienc
Publisher: Pearson Addison Wesley
Author: Triola, Marc and Triola, 1stMa

More textbook information including prices

Enrollment Information

  • Lower Division
  • B4: Math - Quantitative Reason

Notes

Prerequisite-Satisfaction of Entry Level Math Test (ELM)
Cross-listed course
This course has a recommended Math 399 lab. Please register for Math 399 section 02 (course ID 1652) or Math 399 section 06 (course ID 1657) or Math 399 section 09 (course ID 1659 ).