— Introduction to Statistical Data Science I
Principles of descriptive statistics. Concepts of randomness, probability models, sampling variability, hypothesis tests and confidence interval.
Prerequisites & course information
Course Description: Principles of descriptive statistics. Concepts of randomness, probability models, sampling variability, hypothesis tests and confidence interval. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 013 or STA 032 or STA 100 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 013 or STA 032 or STA 100 . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL).
Sources
- Course catalogue ↗2026-2027