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Online Jun 10-Jul 26, 2013 Credit: 3 graduate Tuition & Fees: $910.05 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 TimesThis 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. 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.Prerequisites
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
You are on your own to purchase the required text, software, and other equipment. See information below. 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. Required Books/Materials
Computer Requirements:
This course uses a learning management system. You will learn more closer to the course start date. For More Informationcontact Philip Kaatz at pgkaatz@yahoo.com How to RegisterRegister Online |
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