Middlebury

MATH 0116

Intro to Statistical Science

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.
Subject:
Mathematics
Department:
Mathematics & Statistics
Division:
Natural Sciences
Requirements Fulfilled:
DED
Equivalent Courses:
ECON 0111 *
PSCI 1230 *
GEOG 1230 *
MATH 0118
ECON 1230 *
STAT 0116
SOCI 1230 *
HARC 1230 *
MATH 1230
ENVS 1230 *
MATH 0201
WRPR 1230 *
JAPN 1230 *
BIOL 1230 *
NSCI 1230 *
FMMC 1230 *
STAT 0201
LNGT 1230
BIOL 0211
ECON 0210
PSYC 0201 *

Sections in Spring 2023, SA UGs Full Term

Spring 2023

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