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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.


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.


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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
Submit Your Assignment 00:00:00
Certification 00:00:00

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