Course Description
This course is designed to bridge theory and practice on how students develop understandings of key concepts in data analysis, statistics, and probability. Discussion of students' understandings, teaching strategies and the use of manipulatives and technology tools. Topics include distribution, measures of center and spread, sampling, sampling distribution, randomness, and law of large numbers.
Spring 2026
Instructors
Meeting Patterns
Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Distance Education:
Yes
Class Days:
T
Class Start Time:
4:30pm
Class End Time:
5:30pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
None