Math 506 syllabus

Statistics for Teachers

Course Description:  Prepares in-service and pre-service teachers to teach statistics in high schools using data-based approach. Uses hands-on-activities approach and simulation of situations to teach concepts and technology to teach data analysis. This course is designed for graduate students in the College of Education and Professional Studies.

Prerequisite:   C or better in MA 126 or permission of instructor

Suggested Texts: Elementary Statistics by  Johnson & Kuby, 11th Edition,  Thompson Brooks/Cole ; Seeing Through Statistics by Jessica Utts, 4th Edition, Cengage Learning

Calculator:   A scientific/programmable calculator with statistical capabilities (such as TI-83, TI-83 plus, TI-84) is recommended.

Coverage:  1.  Planning a study: deciding what and how to measure; 2.  Exploring data: observing patterns and departures from patterns; 3.  Anticipating patterns in advance: Producing models using probability and simulation; 4.  Statistical inference: confirming models 

Learning outcomes: Upon the successful completion of the course a student will:

know the basics of designing an experiment
know different data collection methods
know methods of pattern recognition
know inference procedures