Jun 09-Jul 25, 2014
Credit: 3 graduate
Tuition & Fees: $910.50
Instructor(s): Phil Kaatz
Course DescriptionStochastic concepts including probabilistic underpinnings of statistics, measures of central tendency, variability, correlation, distributions, sampling, and simulation. Exploratory data analysis including experiments, surveys, measures of association and inferential statistics. Discussion of methods for teaching statistics in secondary mathematics and science.
Meeting Place and Times
This course is taught online. Course participants login and participate at a time of day that is convenient for them. It is recommended that participants login at least 4 to 6 times per week and plan on spending as much as 20 hours per week for 7 weeks to successfully complete this 3 credit graduate course. It is imperative that teachers are available to participate fully on the course for the full 7 weeks. This time estimate includes both the time teachers spend on-line connected to Desire2Learn participating in group discussions and other course activities and the time spent off-line working on assignments, projects, and lab activities.
Instructor(s)Phil Kaatz, PhD.
Target AudienceHigh school or community college mathematics and science teachers.
Time Commitment:15-20 hours per week. If you are unfamiliar with this field of study and/or method of delivery, you may require more time.
Tuition and Fees
A $30 registration fee is also charged once per semester.
The costs above assume that you are taking only MSU Extended University courses during the semester that the course is offered. If you also registered for courses through the MSU Registrar, the regular MSU fee structure may apply.
A $40 late fee will be assessed if payment is not posted to your account by 3 pm (Mountain Time) of the course start date (or the business day before if the course starts on a weekend or a holiday).
To learn more about tuition and fees, please see the University Business Services' Student Accounts Web page.
This course uses a learning management system. You will learn more closer to the course start date.
For More Information
contact Philip Kaatz at email@example.com
How to RegisterRegister Online