Course Title: Introduction to the Ideas and Applications of Statistics |
Start Date: 09/04/2024 End Date: 12/17/2024 |
Term: Fall Semester 2024 |
Description: This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression. |
Distribution(s): II - Math & Sciences |
Academic Level Of Course: Undergraduate     | Credits:4.00     |
Faculty         | Phone         | Email address         |
Ben Pittman-Polletta   |           | benpolletta@mtholyoke.edu   |
Meeting Dates         | Method         | Meeting days         | Meeting times         | Building name         | Room     | Frequency     |
09/04/2024 - 12/17/2024   | Lecture   | Monday, Wednesday and Friday   | 01:45PM - 03:00PM   | CLAP - Clapp Laboratory   | 407   | Weekly |
Requisite Courses         | ||
None |           |           |
Comments         |
Additional Comments         |
Course Tags         | ||
DATA0001   | DATA-SCI: Data Science Core Course   | This is a required core course of the Data Science major.   |
Cross-listed Sections         |
None   |
Course Availability | ||||
Section status: Open     | Capacity: 28     | Enrollment: 8     | Available: 20     | Waitlist: 0 |
BOOK INFORMATION
Book List         | Required         | Publisher Full Price         |
Title: OpenIntro Statistics Author: Diez, David Copyright: 2023 Edition: Volume: ISBN: 1943450226 Publisher: OpenIntro, Inc. |
Optional   | 26.74   |
Title: Introduction to Modern Statistics Author: Çetinkaya-Rundel, Mine Copyright: 2024 Edition: Volume: ISBN: 1943450277 Publisher: OpenIntro, Inc |
Optional   | 25.00   |
Title: Statistical Inference via Data Science: A ModernDive into R and the Tidyver Author: Ismay, Chester Copyright: 2019 Edition: Volume: ISBN: 0367409828 Publisher: CRC Press, Taylor & Francis Group |
Optional   | 56.84   |
Additional Book Comments         |
This is the complete book list for this class.   |