Statistics 244NP - Intermediate Topics in Statistics: 'Nonparametric Statistics'

Nonparametric Statistics

Spring
2021
01
4.00
Amy Nussbaum
M 09:45AM-11:00AM;TTH 09:30AM-11:15AM;WF 10:15AM-11:15AM
Mount Holyoke College
113920
anussbau@mtholyoke.edu
The methods taught in traditional statistics courses are based on assumptions that are often not satisfied by real data sets. In this course we will learn about approaches that require fewer assumptions, known as nonparametric methods. After taking this course, students will be able to examine assumptions for different approaches to statistical inference, compare nonparametric statistical tests such as sign and Wilcoxon tests to their parametric equivalents, and implement non-parametric approaches using R. In addition, the course will incorporate computational techniques for statistical analysis, including simulation, permutation tests, and bootstrapping.
Prereq: STAT-140.
Permission is required for interchange registration during the add/drop period only.