Nov 03, 2024  
OHIO University Undergraduate Catalog 2024-25 
    
Catalog Navigation
  Catalog Home
  Mission, Vision and History
  Diversity and Inclusion Commitment
  Advising
  Academic Calendar
  Academic Policies
  Admissions
  Fees and Financial Aid
  General Information
  Graduation Requirements – University-wide
  OHIO BRICKS
  Services for Students
  Arts and Sciences
  Business
  Communication
  Education
  Engineering and Technology
  Fine Arts
  Health Sciences and Professions
  Honors Tutorial
  Leadership and Public Service
  University College
  OHIO Online/eCampus
  Regional Higher Education
  Course Descriptions
  Course Information
  Curricula – Certificates, Major Programs, Minors
  Departments and Schools
  Faculty
  Major, Minor, and Certificate Codes
  Abbreviations
  University Contacts
  Notice of Non-Discrimination and Title IX Coordinator Contact Information
  Copyright and Disclaimer
  My Portfolio
HELP
OHIO University Undergraduate Catalog 2024-25
Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)

PBIO 3150 - Statistical Methods in Plant Biology

Lecture: biostatistics and applications in the plant sciences; scientific method, hypothesis testing, and design of experiments; sampling, data analysis, regression and correlation, analysis of variance, and parametric and nonparametric statistics. Lab: Computer lab in data analysis, statistics, and graphics. 3 lec. 2 lab

Requisites: 15 Hours in PBIO
Credit Hours: 4
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Students will be able to describe and display data.
  • Students will be able to formulate testable hypotheses.
  • Students will be able to develop experimental designs to test hypotheses.
  • Students will be able to analyze data with the appropriate statistical test and interpret the results.
  • Students will be able to demonstrate proficiency in R and RStudio, to analyze data and create graphs.


Facebook this Page (opens a new window)
Tweet this Page (opens a new window)
Add to Portfolio (opens a new window)