This course contains the basic tools for an initiation of statistical methods in Applied Mathematics. The goal is to introduce students to the basic probability theory and mathematical statistics and help them in establishing a good theoretical background for their future. This course provides an introduction to probability, statistical theory and methodology Lectures will explain the theoretical origins and practical implications of statistical formulae.
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 needs 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: Middle East Technical University
|Topic 1. Introduction||00:50:00|
|Topic 2. Conditional Probability and Bayes Theorem||00:55:00|
|Topic 3. Random Variables, Expectation, Transformation||01:10:00|
|Topic 4. Mgf and Distributions||01:30:00|
|Topic 5. Limiting Distributions||00:25:00|
|Topic 6. Sampling Distributions||00:05:00|
|Topic 7. Point Estimation||01:10:00|
|Topic 8. Estimation II||02:20:00|
|Topic 9. Distribution Fitting||00:25:00|
|Topic 10. Simple Linear Regression||00:45:00|
|Submit Your Assignment||00:00:00|
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