| Course Title: Intermediate Topics in Statistics: 'Nonparametric Statistics' |
| Start Date: 01/24/2022 End Date: 05/09/2022 |
| Term: Spring Semester 2022 |
| Description: 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. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Amy Nussbaum | anussbau@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/24/2022 - 05/09/2022 | Lecture | Tuesday and Thursday | 10:00AM - 11:15AM | CLAP - Clapp Laboratory | 402 | Weekly |
| Requisite Courses | ||
| Prereq: STAT-140. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 28 | Enrollment: 25 | Available: 3 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |