STAT 0116

Intro to Statistical Science

Introduction to Statistical Science (formerly MATH 0116)
A practical introduction to statistical methods and the examination of data sets. Computer software will play a central role in analyzing a variety of real data sets from the natural and social sciences. Topics include descriptive statistics, elementary distributions for data, hypothesis tests, confidence intervals, correlation, regression, contingency tables, and analysis of variance. The course has no formal mathematics prerequisite, and is especially suited to students in the physical, social, environmental, and life sciences who seek an applied orientation to data analysis. (Credit is not given for MATH 0116 if the student has taken ECON 0111 (formerly ECON 0210) or PSYC 0201 previously or concurrently.) 3 hrs. lect./1 hr. computer lab.
Mathematics & Statistics
Natural Sciences
Requirements Fulfilled:
Equivalent Courses:
STAT 0201
ECON 0210
BIOL 0211
MATH 0116
MATH 0201


Spring 2025

STAT0116A-S25 Lecture
STAT0116B-S25 Lecture
STAT0116Y-S25 Lab
STAT0116Z-S25 Lab

Fall 2024

STAT0116A-F24 Lecture (Stratton)
STAT0116Z-F24 Lab (Stratton)

Spring 2024

STAT0116A-S24 Lecture (Malcolm-White)
STAT0116Z-S24 Lab (Malcolm-White)

Fall 2023

STAT0116A-F23 Lecture (Malcolm-White)
STAT0116Z-F23 Lab (Malcolm-White)