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General Education Comprehensive Learning Modules
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Statistics
The Statistics Comprehensive Learning Module provides an introduction to the fundamentals of statistics. Topics discussed include the following: data description; probability and probability distributions; sampling and sampling distributions; statistical estimation and hypothesis testing; regression; correlation; and one-way analysis of variance. Each section contains several sample problems and questions, and a complete, multiple-choice practice exam to test comprehension is located at the end of the guide. Note: users of this guide should have a basic knowledge of algebra.
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Gudmund Iversen
A.M. University of Michigan
Ph.D. Harvard University
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Craig Downing
Bachelor's Degree Southeast Missouri State University
Bachelor's Degree Southern Illinois University–Carbondale
Master's Degree Southern Illinois University–Carbondale
Ph.D. Southern Illinois University–Carbondale
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Exam Type
DSST® (Dantes Subject Standardization Test)
DSST® offers students a cost-efficient, time-saving way to use their knowledge acquired outside of the classroom to accomplish their educational goals. It provides colleges and universities with a reliable means to measure students' knowledge in commonly taught college courses and award credit based on their scores.
More on scheduling DSST® exams and finding test sites
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