UMass Boston

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Computational Statistics

Course Overview

Date / Time Location Credits Minimium Tuition*
1/27/25 - 5/14/25
TuTh 5:30p.m. – 6:45p.m.
Wheatley W01-0047 3 $1984 (guest students)
Date
1/27/25 - 5/14/25
Time
TuTh 5:30p.m. – 6:45p.m.
Location
Wheatley W01-0047
Credits
3
Min. Tuition*
$1984 (guest students)

Description

This course is an introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered include the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ration tests, t-test, paired and 2-population t-tests, goodness-of-fit tests, chi-square tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Statistical software such as R, Matlab, or Python, will be used to analyze real-world data.

Prerequisites

MATH 345 or permission of instructor

This course is closed for registration.

Course Details