ADMT 1805 Applied Statistics

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 overview

Department
Advancing Studies
School
ADV
Credits
4
Level
Undergraduate
Offered
Periodically in the Fall,Periodically in the Spring,Periodically in the Summer

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.98 / 5

Based on 52 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Jordan Lawson
    Spring 2022 · Official rating 4.63/5
  • Noman Khanani
    Spring 2026, Summer 2025, Spring 2025, Summer 2024, Spring 2024, Spring 2023, Fall 2022 · Official rating 3.98/5
  • Walter Stone
    Fall 2024 · Official rating 4.50/5

Sections

No current section details are available.