subjects > STAT > STAT 3225

STAT 3225: Statistical Methods for Biological and Health Sciences

Students learn how to use statistical methods for analyzing data from the biological and health sciences. The programming language R and R Commander is used for statistical computing including data manipulation, data analysis and graphical display of data. Topics covered in this course include: observational and experimental studies, parametric and nonparametric statistical methods, analysis of contingency tables, analysis of variance, multiple linear regression, and logistic regression. Students are required to complete a term data analysis project using statistical methods and software presented in this course.

Priority registration in this course is offered to students admitted to the Bachelor of Science in Bioinformatics.

Prerequisite(s): A minimum "C-" grade in STAT 1181 and 2281.

Course Information:

Credits:

4.0

Additional Fees:

$45.0

Repeat Limit:

2

Lecture Hours:

3.0

Seminar Hours:

0.0

Lab Hours:

1.0

Offered online:

False

Course outline(s):

None


2AR 2SC HUM LSC SCI SOC UT
None None None None None None None

Transfers:

No active transfer agreements found.

Inactive Transfers:

No inactive transfer agreements found.

Current Offerings:

Semester CRN Section Seats Waitlist Days Time Room Type Instructor
2024 30 30529 M01 2 N/A -T-R--- 1230-1420 B032 Lecture Robin Susanto
------- - WWW Lecture Robin Susanto

Previous Offerings:

Semester Seats Waitlist Days Time Room Type Instructor
2023 30 4 N/A -T-R--- 1230-1420 B152 Lecture Robin Susanto
------- - WWW Lecture Robin Susanto
M------ 0830-1025 B152 Exam Robin Susanto
2023 10 0 N/A M-W---- 1430-1620 B032 Lecture Qi Wen
------- - WWW Lecture Qi Wen
----F-- 1830-2025 B032 Exam Qi Wen
2022 10 3 N/A -T-R--- 1630-1820 B032 Lecture Qi Wen
------- - WWW Lecture Qi Wen
-T----- 1830-2025 B155 Exam Qi Wen
2021 20 Cancel N/A MTWR--- 1030-1120 WWW