Middlebury

MATH0116Y-S23

Intro to Statistical Science
Intro Statistical Science Lab

Introduction to Statistical Science
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.
Course Reference Number (CRN):
22946
Subject Code:
MATH
Course Number:
0116
Section Identifier:
Y

Course

MATH 0116

All Sections in Spring 2023

Spring 2023

MATH0116A-S23 Lecture (Peterson)
MATH0116B-S23 Lecture (Malcolm-White)
MATH0116Y-S23 Lab (Malcolm-White)
MATH0116Z-S23 Lab (Peterson)