INTRODUCTION TO STATISTICS FOR BIOSCIENCES
An introduction to statistics for Biosciences with emphasis on statistical models and data analysis techniques. Computer-assisted data analysis and examples, are explored in laboratory sessions. Topics include descriptive statistics, correlation and regression, categorical data analysis, statistical inference through confidence intervals and significance testing, rates, and proportions. Real-world examples are emphasized. Recommended Prerequisite(s): MATH 212 or MATH 222
Prerequisites & course information
Short Title: INTRO TO STAT FOR BIOSCIENCES Department: Statistics Grade Mode: Standard Letter Course Type: Lecture/Laboratory Distribution Group: Distribution Group III Credit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ( MATH 101 or MATH 105 or MATH 112 ) and ( MATH 102 or MATH 106 )
Sources
- Course catalogue ↗2026–2027