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Course Description

 

Introductory Statistics for Economics ( ECON003 ) provides students with essential statistical tools for economic analysis, covering probability, descriptive statistics, estimation, hypothesis testing, and regression analysis. The course equips students with the quantitative skills needed to interpret economic data and make informed decisions in various economic contexts.

Course Starting from 1st October 2024

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Past Year Paper & Solutions

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Experience our Introductory Statistics for Economics ( ECON003 ) course before enrolling with our exclusive trial classes. These sessions provide a sneak peek into the engaging lectures and interactive teaching methods that define our program.

Classification of Data Types

Measures of Dispersion

Poisson Distribution

Regression Theory

What is Statistics ?

Introductory Statistics for Economics Syllabus

Learning Objectives

  1. The course familiarizes students with methods of summarizing and describing important features of data. The course teaches students the basics of probability theory and sets a necessary foundation for Inferential Statistical Theory and the Econometrics courses. The familiarity with probability theory will also be valuable for courses in economic theory.  

Learning Outcomes

The student would understand the concept of probability, random variables and their distributions and become familiar with some commonly used discrete and continuous distributions of random variables so that they would be able to analyse various real-life data.  

Examination Scheme

End semester exam: This would be of 90 marks. The following decisions were taken regarding the choice offered within topics and the weightage given.

 

(i) Unit 1 and 2 would be given a combined weight of 20 marks, Unit 3 of 20 marks, Unit 4 of 30 marks, and Unit 5 would be given a weightage of 20 marks.

 

(ii) Units 1 and 2, would together have 3 questions, of which students would be required to do 2 questions.

 

(iii) Unit 3 would be compulsory, and would have two questions of 10 marks each.

 

(iv) Unit 4 would be compulsory, and would have three questions of 10 marks each.

 

(v) Unit 5 would be compulsory, and would have two questions of 10 marks each.

 

(vi) There would be a limited number of sub-parts per question. No sub-part would be less than 5 marks and if a sub-part had more than 5 marks, the marks would be in multiples of 5.

The internal assessment would comprise two class tests of 12 marks each. Lecture attendance will carry 6 marks. The continuous assessment would comprise of 35 marks tutorial assignment which would involve plotting the distribution in R / Excel and Quizzes / problem solving during tutorials. Tutorial attendance will carry 5 marks.

Past Year Papers

Click to download DU Sem 1-Introductory Statistics for Economics ( ECON003 ) past year question papers

FUNTASTIC Faculty from DSE & ISI

Helped 1000’s of students get into their Dream Institute for MA Economics

best ma economics faculty Samkith banthia

Samkith Banthia

ISI Alumnus | Eco(H) St Xaviers Kolkata | FRM from GARP | Formerly with Barclay's Bank

Samkith Sir, an alumnus of ISI, transitioned from a successful banking career to pursue his passion for teaching and mentoring aspiring students. With expertise in mathematics and a nurturing demeanor, he stands out as a premier educator, dedicated to guiding students towards academic excellence.

best ma economics faculty Mahima banthia

Mahima Banthia

DSE Alumnus | Eco(H) SRCC Delhi | Former Lecturer St Stephen’s College Delhi | NET qualified

In Mahima Ma’am’s class at EduSure, we prioritize logical reasoning and emphasize conceptual understanding, ensuring mastery of macroeconomics. Mahima Ma’am, also handling administrative responsibilities at EduSure, is dedicated to providing the highest quality service to every student.

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