This document describes an online course that introduces basic statistical concepts and methods for application in economics. The course covers topics such as probability theory, sampling, statistical estimation, regression analysis, and hypothesis testing. Assessment involves answering five written assignment questions. Students can earn a certificate by paying a fee upon successfully completing the course assignments. The course is self-paced with video lectures on statistical topics and applications in economics.

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Basic Concepts Of Statistical Method
In Economics
( 7 REVIEWS ) 783 STUDENTS
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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FREE
1 YEAR
LEVEL 2 - CERTIFICATE
COURSE BADGE
COURSE CERTIFICATE
17NUMBER OF UNITS
TAKE THIS COURSE
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0NUMBER OF QUIZZES
2 HOURS, 34 MINUTES
HOME CURRICULUM 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, 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
Set and Probability Theory 00:10:00
Random Variables, Probability Mass Density Function, and Cumulative
Distribution Function (Univariate Model)
00:10:00
COURSE CURRICULUM
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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
Submit Your Assignment 00:00:00
Certi cation 00:00:00
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COURSE REVIEWS
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