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
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| ARR | Online | 1/23/2021 - 5/28/2021 | Jennifer Brown |
Status: Open
Class Number: 2434
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 1/23/2021 - 5/28/2021
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 23
Available Seats: 1
Wait List Capacity: 10
Wait List Total: 0
Textbook / Other Materials
Status: RecommendedISBN: 9781938168208
Title: Introductory Statistics
Publisher: OpenStax College
Author: Openstax
Status: Required
ISBN:
Title: No Cost Course Materials
Publisher:
Author:
More textbook information including prices
Enrollment Information
- Lower Division
- On Line
- B4: Math - Quantitative Reason
- Free Course Materials