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
Data freshness
Instructors
- Jordan Lawson
- Noman Khanani
- Walter Stone
Sections
No current section details are available.