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Online College Course

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Introduction to Statistics

Sophia's Introduction to Statistics course helps you gain mastery of the basic principles of statistics. In this course, you will learn a variety of topics, including statistical principles, research methodologies, data analysis, and hypothesis testing. You will also have the opportunity to demonstrate the application of these topics in statistics to everyday situations. Full Description

Credits: 4 Semester Credits

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Your schedule. Your budget. Your style. At Sophia, we put all aspects of learning in your hands.

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Get general education or elective requirements out of the way faster. If you start today, you can be done in as little as 6 weeks!

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This Introduction to Stats course costs up to 80% less than at a traditional college, and there are no textbooks to buy, saving you even more.

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Go beyond the numbers with concepts taught in ways that connect with the unique ways you learn­­--visually, verbally, applied, and more.

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Description

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This Introduction to Statistics Course uses problem­-based learning that shows you how to apply your knowledge in real­-world situations. Our Many Ways™ learning model feature multiple teachers and various instructional styles for each concept so you can find a style that meshes with your individual learning preference. This rich, immersive experience helps you better understand and retain information, for an all­-around smarter way to learn.

SOPHIA's Introduction to Statistics Course helps you gain mastery of the basic principles of statistics. In this Course, you will learn a variety of topics, including statistical principles, research methodologies, data analysis, and hypothesis testing. You will also have the opportunity to demonstrate the application of these topics in statistics to everyday situations.

In SOPHIA's Introduction to Statistics Course, you will complete a series of assessments comprised of 18 Challenge assessments and 6 Milestone assessments tied to the following learning outcomes:

  • Understand and identify key principles of statistical reasoning and statistical methods.
  • Apply concepts of data and data representation in a real world context.
  • Calculate variation and central tendency and recognize patterns in distributions.
  • Apply concepts of probability and risk in real life scenarios.
  • Determine correlation and causation and distinguish between them in context.
  • Apply concepts of hypothesis testing and utilize t­-tests, z­-tests, and ANOVA in real world situations.

Reviews

 
2013-02-05
The many ways approach helps. The fact that I could email the team to review my answers helped.
Justin C.
 
2013-06-05
I enjoyed the overall experience. The instructors were great...I would definitely recommend this to anyone who can handle the self­-management of learning. 5 stars!
David K.
 
2013-08-21
As a full time mom, student and working professional, I really appreciated the self­-paced aspect. I had faculty supporting me along the way.
Misti C.
 
Justin C.
 
David K.
 
Misti C.