Hypothesis testing in college level statistics - Part 1-




Hypothesis testing in college level statistics - Part 1-

The course covers the theory and application of testing statistical hypotheses. The material of the course is college level introductory statistics course for students majoring in various fields.
Testing statistical hypotheses is a result of teaching introductory statistics courses for over ten years at the college level. The course is written in an easy to understand way and draw upon several fully solved and explained problems to make it hands-on and practical. Each concept is immediately followed with illustrated examples and solved exercise so that you will learn by doing.

Content and Overview
This course of 17 lectures and 1.5 hours of content is suitable for a college student or anyone interested in understanding statistical tests of hypotheses in a hands-on way, at their own comfortable pace. It's very rich with examples and solved problems and do not pretend that you will understand things by just reading definitions and concepts.
My approach is hands-on: Concepts, examples and solved problems addressing all the concepts covered in the lectures. In addition, we have quizzes and the forum for questions.
After teaching statistics for over ten years to college students from various math background and interests, my lectures are designed to address all the questions that introductory statistics students tend to ask and the difficulties related to statistical tests of hypotheses.

Learn how to test statistical hypotheses through well conceived lessons and fully solved numerous exercises with ease.

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What you will learn
  • Understand how to write statistical hypotheses and test them
  • Understand and test hypotheses about populations means for one sample
  • Understand and test hypotheses about populations proportions for one sample

Rating: 3.9

Level: Intermediate Level

Duration: 1.5 hours

Instructor: Luc Zio


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