Introductory Statistics for Economics

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Semester I Subjects

â–ºIntroductory Micro Economics

â–ºIntroductory Mathematical Methods for Economics

â–ºIntroductory Statistics for Economics

â–ºGE Calculus

â–ºGE Statistical Methods

The Introductory Statistics for Economics (ECON 003) Course for BA Economics (Honours) UGCF, Semester I, Delhi University has been taught by Mr. Dheeraj Suri. The Video Lectures are based upon the books prescribed by the University of Delhi. The Duration of Video Lectures is approximately 50 Hours.

Access of Video Lectures is provided on any one of the following devices:

Windows Computer or Laptop, or

Android Phone or Tablet, or

Apple Iphone or Ipad, or

Apple Macbook,

till end of Semester I Exams.

Regular Course Fee for Introductory Statistics : Rs. 5,000

Discounted Course Fee for Introductory Statistics : Rs. 500

Once You get the access you need to login and download our APP and all the lectures from your login account and play in your device.

You will get :

â–ºFull Course Video Lectures

►Complete Study Material (PDF Notes) which includes Concepts, Previous Year Questions, Numerical Questions, MCQ’s and Important Questions

â–ºLive Online Doubts Sessions with Expert Faculty (at least twice a week) for resolution of Doubts

â–ºOnline Discussion Forum to Post Your Queries to Discuss with Faculty & other fellow Students

â–ºMock Tests at the Website for regular assessment and progress tracking

â–ºVideo Lectures Cover Theory Portions Exhaustively + Complete Solutions of Back Questions of Readings + Solutions of Previous Years Papers + Large Number of Numericals

â–ºComprehensive Coverage of Syllabus and Exam Oriented Preperation

This online coaching platform aims to provide a supportive and engaging learning environment for students to achieve academic success and excel in their Economics Honours program.

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Demo Quiz

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Time Allowed for this Test is 20 Minutes

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Created by Dheeraj Suriadmin

Probability Test #1

1. Please Read the Questions and all the options Carefully, Before Selecting Your Choice.
2. You are not Allowed to edit your answers after submission.
3. The Paper has twenty Questions
4. Time Allowed is 20 Minutes.
5. It is necessary to enter your valid Email id to attempt this test.

 

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1 / 20

What is the probability of 53 Sundays in a leap year

2 / 20

Tickets numbered 1 to 200 are mixed and a ticket is drawn at random from them. What is the probability that the ticket drawn is a multiple of 3

3 / 20

Two dice are thrown simultaneously. What is the probability of getting two numbers whose product is even?

4 / 20

What is the Probability of getting a sum 9 from two throws of a dice

5 / 20

Two dice are rolled simultaneously. The probability that total score is prime number is

6 / 20

Let A and B be two mutually exclusive events with positive probability each, defined on the same sample space. Find the correct answer:

7 / 20

An unbiased coin is tossed until a head appears. The expected number of tosses required is

8 / 20

A card is drawn at random from an ordinary deck of cards. If an ace is drawn you win Rs. 100; if a king is drawn you win Rs. 75; if a queen is drawn you win Rs. 50; and if a jack is drawn you win Rs. 25. What is the probability of winning at least Rs. 25? What would you expect to win on average?

9 / 20

Among 25 articles, 9 are defective, 6 have only minor defects and 3 have major defects. The probability that, if a selected article is defective, then the defect is major is

10 / 20

A student must choose one of the subjects - Physics, Chemistry or Mathematics for study. She is equally likely to choose Physics or Chemistry and twice as likely to choose Mathematics. The probability that student chooses Mathematics is

11 / 20

If A and B are independent events, P(A) = 0.5, P(A U B) = 0.7, then P(B) is

12 / 20

A car with six spark plugs is known to have two defective spark plugs. If two plugs are pulled at random, then the probability that both are defective is :

13 / 20

If E(XY) = 36, E(X) = 9, E(Y) = 4 then

14 / 20

Events A and B are equally likely and are independent. The probability of the event A and B is 0.36. The probability of A is :

15 / 20

If P(A) = P(B) = p, then P[A ∩ B] 

16 / 20

Given P(A) = 0.5, P(B) = 0.4 if A and B are independent then P(A U B) is

17 / 20

If a fair coin is tossed twice, the probability of getting 'head' at least once is 

18 / 20

If two fair dice are tossed, the probability that the sum of the points on the dice equals 7 is 

19 / 20

If A and B are independent events then

20 / 20

Given P(A) = 0.4, P(A U B) = 0.7, and A and B are independent, P(B) is equal to

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Reading List

Click Here for Reading List of Introductory Statistics for Economics

Recommended Readings

â–ºDevore, J. (2012). Probability and Statistics for Engineers, 8th ed. Cengage Learning

Exam Pattern

The End Semester Question Paper will be of 90 Marks

â–º The following is distribution of topics, indicative weightage, and the amount of choice within each section

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

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

(v) Units 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.

â–º 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 05 marks.

â–º In order to achieve uniformity in evaluation of final answer scripts, it was decided to include the following notes in final question paper:

  • All questions within each section are to be answered in a contiguous manner on the answer sheet. Start each question on a new page, and all sub-parts of a question should follow one after the other.
  • All intermediate calculations should be rounded off to 3 decimal places. The values provided in statistical tables should not be rounded off. All final calculations should be rounded off to two decimal places.
  • Simple Calculators are allowed.

â–º In the question paper, if tables are to be provided, they should be done using Devore.

Demo Lectures for Introductory Statistics for Economics

Course Introduction

Chapter 1 : Introduction & Overview

Introductory Stats Class #1
Introductory Stats Class #2

Chapter 4 : Probability

Probability Lecture #1
Probability Lecture #2
Probability Lecture #3
Probability Lecture #4

Previous Year Question Papers : PYQ’s

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Course Content of Our Video Lectures

The Lectures are as per Latest Syllabus for Academic Session 2025 – 26

Unit – I : Introduction & Overview

Chapter 1 : Population & Sample

Duration of Lectures : 113 Minutes

Based Upon J L Devore Chapter 1.1 & 1.2

Topics Covered

â–ºDistinction between Population & Sample, Univariate Bivariate & Multivariate data, Descriptive & Inferential Statistics, Enumerative and Analytical Studies,

â–ºDescriptive & Inferential Statistics,

â–ºStem & Leaf Displays,

â–ºDotplots,

â–ºHistogram

Chapter 2 : Measures of Location

Duration of Lectures : 250 Minutes

Based Upon J L Devore Chapter 1.3

Topics Covered

â–ºFrequency Series,

â–ºArithmetic Mean, Properties of Arithmetic Mean, Combined Mean, Corrected Mean,

â–ºMedian,

â–ºTrimmed Median,

â–ºMode,

â–ºPartition Values

Chapter 3 : Measures of Variability

Duration of Lectures : 203 Minutes

Based Upon J L Devore Chapter 1.4

Topics Covered

â–ºAbsolute and Relative Measures of Dispersion,

â–ºRange & Coefficient of Range,

â–ºQuartile Deviation & Coefficient of Quartile Deviation,

â–ºMean Deviation & Coefficient of Mean Deviation,

â–ºStandard Deviation, Variance & Coefficient of Variation,

â–ºSample & Population Standard Deviation,

â–ºProperties of Standard Deviation, Combined Standard Deviation,

â–ºFourth Spread & Outliers

Unit – 2 : Elementary Probability Theory

Chapter 4 : Probability

Duration of Lectures : 542 Minutes

Based Upon J L Devore Chapter 2

Topics Covered

â–ºSample Spaces and Events,

â–ºProperties of Probability,

â–ºUse of Permutations,

â–ºUse of Combinations,

â–ºAddition Theorem,

â–ºConditional Probability,

â–ºThe Multiplication Rule & Independent Events,

â–ºSampling with & without replacements,

â–ºLaw of Total Probability, Baye’s Theorem,

â–ºMathematical Expectation

Unit – 3 : Random Variables & Probability Distributions

Chapter 5 : Probability Distribution of Discrete Random Variables

Duration of Lectures : 312 Minutes

Based Upon J L Devore Chapter 3.1-3.3

Topics Covered

â–ºRandom Variables, Discrete & Continuous Random Variables,

â–ºProbability Distribution for Discrete Random Variables,

â–ºThe Probability Mass Function (PMF), The Cumulative Distribution Function,

â–ºExpected Values & Variance of a Discrete Random Variable,

â–ºProperties of Expected Values & Variance of a Discrete Random Variable

Chapter 6 : Probability Distribution of Continuous Random Variables

Duration of Lectures : 312 Minutes

Based Upon J L Devore Chapter 4.1-4.2

Topics Covered

â–ºProbability Distribution for Continuous Random Variables,

â–ºThe Probability Density Function (PDF), The Cumulative Distribution Function,

â–ºThe Percentiles of a Continuous Distribution,

â–ºExpected Values & Variance of a Continuous Random Variable,

â–ºProperties of Expected Values & Variance of a Continuous Random Variable

Unit – 4 : Special Probability Distributions

Chapter 7 : Special Discrete Distributions

Duration of Lectures : 314 Minutes

Based Upon J L Devore Chapter 3.4-3.6

Topics Covered

â–ºThe Bernoulli Distribution,

â–ºThe Binomial Probability Distribution, Using Binomial Tables,

â–ºMean & Variance of a Binomial Distribution,

â–ºThe Hypergeometric Distribution,

â–ºThe Poisson Probability Distribution,

â–ºMean & Variance of a Poisson Distribution, The Poisson Process

Chapter 8 : Special Continuous Distributions

Duration of Lectures : 302 Minutes

Based Upon J L Devore Chapter 4.3-4.4

Topics Covered

â–ºThe Uniform Distribution,

â–ºThe Normal Distribution,

â–ºThe Standard Normal Distribution, Non Standard Normal Distribution,

â–ºApproximating Binomial Distribution,

â–ºThe Percentiles of a Normal Distribution,

â–ºThe Exponential Distribution,

Unit – 5 : Random Sampling & Jointly Distributed Random Distributions

Chapter 9 : Jointly Distributed Random Variables

Duration of Lectures : 204 Minutes

Based Upon J L Devore Chapter 5.1-5.2

Topics Covered

â–ºThe Bivariate Distribution of Discrete Type,

â–ºJoint Probability Mass Function, Marginal Probability Mass Function,

â–ºThe Conditional Probability Mass Function,

â–ºThe Bivariate Distribution of Continuous Type,

â–ºJoint Probability Density Function, Marginal Probability Density Function,

â–ºThe Conditional Probability Density Function,

â–ºExpected Values, Covariance and Correlation

End of Syllabus