APSY 2217 Statistics for Applied Psychology
This course provides an introduction to statistics with a focus on applications to the fields of human development and education. Students will learn the fundamentals of data analysis, including descriptive statistics, hypothesis testing, confidence intervals, and statistical inference. They will receive experience with statistical software that will allow them to address a wide range of research questions. The course will highlight examples from different areas of practice that require the application of psychology: human services, human resources, social policy, and education.
Course overview
- Department
- Counseling, Developmental, and Educational Psychology
- School
- Lynch
- Credits
- 3
- Level
- Undergraduate
- Offered
- Every Fall, Every Spring
Catalog details
- Prerequisites
- Restricted to APSY Majors and Minors
- Satisfies core
- Mathematics
Requirements fulfilled
- Lynch Core Path: Mathematics Core option (Current undergraduate curriculum)
- Applied Psychology and Human Development: Core courses: research methods, statistics, and the Applied Psychology practicum (three courses) (Current University Catalog; students should confirm their catalog year)
- University Core: Mathematics (All undergraduates)
Course evaluations
- Course rating
- 3.93 / 5 · Very Good
- Instructor rating
- 4.17 / 5 · Very Good
- Terms evaluated
- 10
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Marina Vasilyeva | 4.0 | 4.2 | 4.5 | 4.5 | 4.5 | 4.6 | 4.1 | 4.5 | 1–3 hrs/week | 40 of 52 |
| Fall 2025 | Marina Vasilyeva | 4.1 | 4.4 | 4.5 | 4.6 | 4.4 | 4.7 | 4.3 | 4.6 | 1–3 hrs/week | 23 of 27 |
| Fall 2025 | Ricardo Diego Suarez Rojas | 3.9 | 4.3 | 4.4 | 4.5 | 4.1 | 4.4 | 4.3 | 4.2 | 1–3 hrs/week | 21 of 25 |
| Spring 2025 | Clara Shim | 4.5 | 4.6 | 4.8 | 4.8 | 4.3 | 4.6 | 4.5 | 4.7 | 1–3 hrs/week | 20 of 24 |
| Spring 2025 | Ricardo Diego Suarez Rojas | 3.5 | 3.8 | 4.0 | 4.0 | 4.3 | 4.0 | 4.0 | 4.5 | 1–3 hrs/week | 22 of 25 |
| Fall 2024 | Betty S Lai | 4.7 | 4.8 | 4.8 | 4.9 | 4.7 | 4.7 | 4.7 | 4.8 | 4–6 hrs/week | 18 of 20 |
| Spring 2024 | Ji Yoon Jung | 3.7 | 3.9 | 4.5 | 4.6 | 4.5 | 4.5 | 4.2 | 4.5 | — | 22 of 25 |
| Spring 2024 | Marina Vasilyeva | 3.9 | 4.2 | 4.6 | 4.6 | 4.6 | 4.7 | 4.2 | 4.7 | 1–3 hrs/week | 30 of 30 |
| Spring 2024 | Ricardo Diego Suarez Rojas | 3.6 | 4.0 | 4.5 | 4.2 | 4.3 | 4.2 | 4.2 | 4.2 | 1–3 hrs/week | 14 of 20 |
| Fall 2023 | Betty S Lai | — | — | — | — | — | — | — | — | — | 20 of 25 |
| Fall 2023 | Marina Vasilyeva | — | — | — | — | — | — | — | — | — | 20 of 23 |
| Spring 2023 | Barbora Hoskova | 2.8 | 2.9 | 4.1 | 4.0 | 3.7 | 4.0 | 3.5 | 3.3 | 1–3 hrs/week | 21 of 25 |
| Spring 2023 | Betty S Lai | 4.5 | 4.7 | 5.0 | 5.0 | 4.7 | 4.8 | 4.6 | 4.7 | 1–3 hrs/week | 19 of 20 |
| Spring 2023 | Marina Vasilyeva | 4.0 | 4.1 | 4.4 | 4.5 | 4.6 | 4.6 | 4.0 | 4.4 | 1–3 hrs/week | 28 of 30 |
| Fall 2022 | Barbora Hoskova | 2.1 | 2.3 | 3.4 | 3.6 | 3.9 | 3.6 | 3.0 | 3.0 | 1–3 hrs/week | 23 of 29 |
| Fall 2022 | Marina Vasilyeva | 3.9 | 4.3 | 4.4 | 4.5 | 4.1 | 4.5 | 3.9 | 4.3 | 1–3 hrs/week | 29 of 30 |
| Spring 2022 | Claudia Kruzik | 4.8 | 4.9 | 5.0 | 5.0 | 4.5 | 4.8 | 4.6 | 4.9 | 1–3 hrs/week | 15 of 29 |
| Spring 2022 | Marina Vasilyeva | 4.2 | 4.7 | 4.8 | 4.8 | 4.4 | 4.8 | 3.7 | 4.8 | 1–3 hrs/week | 16 of 30 |
| Fall 2021 | Claudia Kruzik | 4.4 | 4.7 | 4.8 | 4.9 | 4.4 | 4.7 | 4.2 | 4.6 | 1–3 hrs/week | 19 of 26 |
| Fall 2021 | Marina Vasilyeva | 4.3 | 4.4 | 4.6 | 4.6 | 4.4 | 4.7 | 4.4 | 4.6 | 4–6 hrs/week | 23 of 30 |
Data freshness
Instructors
Sections
- Section 01
- Section 02
- Section 01
- Section 02