Welcome to Prime Academy Delhi
For getting access of recorded video lectures of Statistical Methods for Economics for Economics (H) Semester III you need to subscribe our course.
If you are not registered at our website then Register Here (After registration please inform us at +91 9899 192027 to get the access)
If you are already registered and have Got the access then Login to watch the Lectures
The Statistical Methods for Economics Course for BA (Hons) Economics Semester III, 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.
Course Fee : Rs. 6000
Access of Video Lectures is provided on one device, Windows Computer or Android Phone, till end of Semester III Exams.
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
 Full Course Video Lectures
 Complete Study Material (PDF Notes) which includes Concepts, Previous Year Questions, Numerical Questions, MCQ’s and Important Questions
 Online Discussion Forum to Post Your Queries to Discuss with Faculty & other fellow Students
 Live online Doubts Sessions (at least twice a week) for resolution of Doubts
 Mock Tests at the Website
 Video Lectures Cover Theory Portions Exchaustively + Complete Solutions of Back Questions of readings + Solutions of Previous Years Papers + Large Number of Numericals
On Payment of Fee we will create your account on our website & you need to login and download all the lectures & our APP through that login account
Access of Video Lectures is provided on one device, Windows Computer or Android Phone, till end of the Semester II Exams
Payment Details
To purchase any course you need to transfer the amount either through Google Pay or PhonePe at 9811261671 or Paytm at 9899192027 or Transfer through net banking IMPS into the following account
Account Details
Dheeraj Suri
Saving Account Number
392010100053871
Axis Bank, Model Town Branch
Delhi – 110009
IFS Code : UTIB0000392
Payment App Details
GPay Number : +91 9811261671
PhonePe Number : +91 9811261671
Paytm Number : 9899192027
After transfer update us with payment details through Whatsapp at +91 9899192027
Demo Lectures
Demo PDF of Study Material
Chapter4ProbabilityDemo Quiz
Probability Demo Quiz #1
1. Please Read the Questions and all the options Carefully, Before Selecting Your Choice. To Get Full Course Video Lectures of Statistics Please Whatsapp Your Details at

Exam Pattern
Assessment :
This course carries 100 marks of which the end semester examination is 75 marks and internal assessment is worth 25 marks as per the following norms: Two class tests/assignment of 10 marks each and 5 marks for attendance.
The following distribution of topics and marks, and the amount of choice within each topic, was agreed upon:
a. Section 1: Unit 1 and Unit 2: (indicative weightage 10 marks), Two questions of 5 marks each with one question from Unit 1 and the other from Unit 2. No internal choice in these units should be given.
b. Section 2: Unit 3 and Unit 4: (indicative weightage 25 marks), One compulsory question of 5 marks and Two questions out of Three for 10 marks each.
c. Section 3: Unit 5: (indicative weightage 20 marks), Two questions out of Three for 10 marks each.
d. Section 4: Unit 6: (indicative weightage 20 marks), Two questions out of Three for 10 marks each.
Course Content of Our Video Lectures
Unit – I : Introduction & Overview
Chapter 1 : Introduction & Overview [60 Minutes]
Based Upon J L Devore Chapter 1.1
Number of Lectures 1 Lectures
Total Duration 60 Minutes
Number of Questions in Notes 10 Questions
Number of MCQ Tests on this Chapter 1 Tests
Important Topics Covered : Population & Sample
Unit – II : Elementary Probability Theory
Chapter 2 : Probability [542 Minutes]
Based Upon J L Devore Chapter 2
Number of Lectures 13 Lectures
Total Duration 542 Minutes
Number of Questions in Notes 376 Questions
Number of MCQ Tests on this Chapter 6 Tests
Important Topics Covered : Sample space, Events, Use of Combinations & Permutations, Addition Theorem, Conditional Probability, Independent Events & Multiplication Theorem, Bayes Theorem, Mathematical Expectation
Unit – III : Random Variables & Probability Distributions
Chapter 3 : Discrete Random Variables [521 Minutes]
Based Upon J L Devore Chapter 3
Number of Lectures 11 Lectures
Total Duration 521 Minutes
Number of Questions in Notes 229 Questions
Number of MCQ Tests on this Chapter 6 Tests
Important Topics Covered : Discrete Random Variable, PMF, CDF, Binomial Distribution, Hypergeometric Distribution, Poisson Distribution
Chapter 4 : Continuous Random Variables [337 Minutes]
Based Upon J L Devore Chapter 4
Number of Lectures 8 Lectures
Total Duration 337 Minutes
Number of Questions in Notes 102 Questions
Number of MCQ Tests on this Chapter 6 Tests
Important Topics Covered : Probability Density Function, CDF, Uniform Distribution, Normal Distribution, Exponential & Gamma Distribution
Unit – IV : Random Sampling & Jointly Distributed Random Variables
Chapter 5 : Joint Probability DIstributions [243 Minutes]
Based Upon J L Devore Chapter 5
Number of Lectures 5 Lectures
Total Duration 243 Minutes
Number of Questions in Notes 60 Questions
Number of MCQ Tests on this Chapter 4 Tests
Important Topics Covered : Joint PMF, Marginal PMF, Joint PDF, Marginal PDF, Conditional Distributions, Covariance, Correlation, Properties of Correlation, Statistics & their Distribution, Distribution of Sample Mean, Distribution of a Linear Combination
Unit – V : Point & Interval Estimation
Chapter 6 : Point Estimation [307 Minutes]
Based Upon J L Devore Chapter 6
Number of Lectures 7 Lectures
Total Duration 307 Minutes
Number of Questions in Notes 68 Questions
Number of MCQ Tests on this Chapter 5 Tests
Important Topics Covered : Sampling, Point Estimate, MVUE, Standard Error of an Estimator, MLE, Method of Moments, Central Limit Theorem
Chapter 7 : Confidence Intervals [230 Minutes]
Based Upon J L Devore Chapter 7
Number of Lectures 5 Lectures
Total Duration 230 Minutes
Number of Questions in Notes 73 Questions
Number of MCQ Tests on this Chapter 5 Tests
Important Topics Covered : Properties of a Confidence Interval, Confidence Interval of a Single Mean & Proportion, t & chi square distribution, Confidence Bounds
Unit – VI : Hypothesis Testing
Chapter 8 : Hypothesis Testing [212 Minutes]
Based Upon J L Devore Chapter 8
Number of Lectures 4 Lectures
Total Duration 212 Minutes
Number of Questions in Notes 66 Questions
Number of MCQ Tests on this Chapter 4 Tests
Important Topics Covered : Hypothesis Testing, Type I & Type II Errors, Power of a Test, P Values
Previous Year Papers
SME 2018
SME 2019
End of Syllabus
Syllabus for SME as Prescribed by University of Delhi
MinutesofMeetingCourse Description
Statistical Methods for Economics (HC33)
Core Course (CC) Credit: 6
Course Objective
The course teaches students the basics of probability theory and statistical inference. It sets a necessary foundation for the econometrics courses within the Honours programme. The familiarity with probability theory will also be valuable for courses in advanced microeconomic theory.
Course Learning Outcomes
At the end of the course, the student should understand the concept of random variables and be familiar with some commonly used discrete and continuous distributions of random variables. They will be able to estimate population parameters based on random samples and test hypotheses about these parameters. An important
learning outcome of the course will be the capacity to analyse statistics in everyday life to distinguish systematic differences among populations from those that result from random sampling.
Unit 1
Introduction and overview The distinction between populations and samples and between population parameters and sample statistics
Unit 2
Elementary probability theory Sample spaces and events; probability axioms and properties; counting techniques; conditional probability and Bayes’ rule; independence
Unit 3
Random variables and probability distributions Defining random variables; probability distributions; expected values and functions of random variables; properties of commonly used discrete and continuous distributions (uniform, binomial, exponential, Poisson, hypergeometric and Normal random variables)
Unit 4
Random sampling and jointly distributed random variables Density and distribution functions for jointly distributed random variables; computing expected values of jointly distributed random variables; covariance and correlation coefficients
Unit 5
Point and interval estimation Estimation of population parameters using methods of moments and maximum likelihood procedures; properties of estimators; confidence intervals for population parameters
Unit 6
Hypothesis testing Defining statistical hypotheses; distributions of test statistics; testing hypotheses related to population parameters; Type I and Type II errors; power of a test; tests for comparing parameters from two samples
References
1. Devore, J. (2012). Probability and statistics for engineers, 8th ed. Cengage Learning.
2. Larsen, R., Marx, M. (2011). An introduction to mathematical statistics and its applications. Prentice Hall.
3. Miller, I., Miller, M. (2017). J. Freund’s mathematical statistics with applications, 8th ed. Pearson.