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 |
|---|---|---|---|---|
| MW | 3:00 PM - 4:15 PM | Online | 8/22/2020 - 12/18/2020 | Jessica Nasr |
Status: Open
Class Number: 1609
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 21
Available Seats: 3
Wait List Capacity: 10
Wait List Total: 0
Textbook / Other Materials
Status: RecommendedISBN: 9781938168208
Title: Introductory Statistics
Publisher: OpenStax College
Author: Openstax
More textbook information including prices
Enrollment Information
- Lower Division
- B4: Math - Quantitative Reason
Notes
Cross-listed courseThis course offers basic algebra help in the support sections of MATH 97 ( 1 unit) which are open to all but required for students needing support. Additionally, students are strongly recommended to sign up for math labs MATH 399 Statistics sections for extra help with the software and statistics content.