ADMT1805 · Advancing Studies
ADV
This course is designed to provide students with a foundation in statistical analysis and computing. This class focuses on the concepts, language, and application of statistics to social sciences. In particular, students will learn to produce and interpret descriptive statistics and graphical and numerical representation of information; additionally, students will learn about measures of location, dispersion, position, and dependence, and how to conduct exploratory data analysis. Additional topics will include elementary probability theory (to aid with interpretation and understanding), point and interval estimation, hypothesis significance testing, and linear regression. To help facilitate understanding of the data analysis process, students will routinely apply what they have learned to real data using SPSS. Students will become familiar with SPSS through class lectures, in-class lab exercises, and take-home assignments. SPSS is available to BC students through BC Apps. Real-world data sets will be provided to students for use in coursework.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.3 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
4.3 / 5
How necessary attendance was
Assignments
4.4 / 5
How helpful assignments were
Weekly effort
~6.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Part Time Faculty, Undergraduate Programs, Woods College of Adv. Stds
3.5 / 5
3.6 / 5
Research Associate, Walsh Center for Thriving Children
4.3 / 5
3.8 / 5
Part Time Faculty, Undergraduate Programs, Woods College of Adv. Std
4.5 / 5
4.8 / 5
Across time
Section-level results available in the recovered archive.
Spring 2025
1 sectionFall 2024
1 sectionSummer 2024
1 sectionSpring 2024
1 sectionSpring 2023
1 sectionFall 2022
1 sectionSpring 2022
1 sectionSpring 2021
1 section