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Basic Concepts Of Statistical Method In Economics ( 7 REVIEWS )
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This course is a self-contained introduction to statistics with economic applications. Topics such as elements of probability theory, sampling theory, …
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This course is a self-contained introduction to statistics with economic applications. Topics such as elements of probability theory, sampling theory, statistical estimation, regression analysis, and hypothesis testing will be discussed in this course. It uses elementary econometrics and other applications of statistical tools to economic data. It also provides a solid foundation in probability and statistics for economists and other social scientists.
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 needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certi cate at a cost of £49. Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can: Add the certi cate to your CV or resume and brighten up your career Show it to prove your success Course Credit: MIT
COURSE CURRICULUM
Set and Probability Theory
Random Variables, Probability Mass Density Function, and Cumulative Distribution Function (Univariate Model)
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Basic Concepts Of Statistical Method In Economics - Edukite
Multiple Random Variables, Bivariate Distribution, Marginal Distribution, Conditional Distribution, Independence, Multivariate Distribution (Multivariate Model)
00:15:00
Expectation (Moments)
00:15:00
Random Variable and Random Vector Transformations (Univariate and Multivariate Models)
00:10:00
Special Distributions (Discrete and Continuous)
00:10:00
Graph Representation Special Distributions
00:10:00
Random Sample, Law of Large Numbers, Central Limit Theorem
00:10:00
Simulations Magnifying Glass
00:05:00
Point Estimators and Point Estimation Methods
00:15:00
An Overview
00:02:00
Interval Estimation and Con dence Intervals
00:10:00
t-Student versus Standard Normal A Graphical View
00:02:00
Hypothesis Testing
00:20:00
An Applied Review
00:10:00
Assessment
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Certi cation
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