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. Must complete a first level graduate statistics course ( ST 507, ST 511, or equivalent) before enrolling.
DE Program
Graduate Certificate in Statistics Education
Spring 2022
Instructors
Meeting Patterns
Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Distance Education:
Yes
Class Days:
H
Class Start Time:
4:30pm
Class End Time:
5:45pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ST 507 or ST 511 R: 17ASDMCTG, 17SECTG, 17STMR/17STZMR and NDS only
