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The aim of this course is to develop logical, empirically based arguments using statistical techniques and analytic methods. Topics such as Elementary statistics, probability, and other types of quantitative reasoning useful for description, estimation, comparison, and explanation are covered throughout in this course. It also emphasis on the use and limitations of analytical techniques in planning practice of this course.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer need to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
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Course Credit: MIT
Course Curriculum
Course overview; epistemological foundations; math review | 00:20:00 | ||
What’s in a number; basic numeracy; measurement | 00:30:00 | ||
Measures of variability | 00:24:00 | ||
Exploratory data analysis and visualization | 00:17:00 | ||
Cross-tabulations; χ2 tests | 00:18:00 | ||
Scatterplots; correlation; cause and effect; confounding variables | 00:24:00 | ||
Simple regression | 00:19:00 | ||
The assumptions of regression analysis | 00:17:00 | ||
Review slack; presentation and graphs | 00:28:00 | ||
Talking about money | 00:19:00 | ||
Lattice plots | 00:26:00 | ||
Assessment | |||
Submit Your Assignment | 00:00:00 | ||
Certification | 00:00:00 |
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