**Welcome to Prime Academy**

**We provide Best Online Coaching for ****Introductory Statistics for Economics [ECON 003]**** for ****Economics (H) Semester I****, University of Delhi, 2024**

**We provide Best Online Coaching for**

**Introductory Statistics for Economics [ECON 003]****for**

**Economics (H) Semester I****, University of Delhi, 2024**

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**Introductory Statistics for Economics (ECON 003) for BA Economics (H) UGCF Semester I, University of Delhi**

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**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.**

**Course Fee for Introductory Statistics : Rs. 6,000**

**Fee Structure for Semester 1 :**

Single Device | Two Devices | |
---|---|---|

Single Subject | Rs. 6000 | Rs. 10,000 |

Two Subjects | Rs. 11,500 | Rs. 19,000 |

Three Subjects | Rs. 16,500 | Rs. 27,000 |

Four Subjects | Rs. 21,000 | Rs. 35,000 |

**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**

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

**►****Live Online Doubts Sessions with Expert Faculty (at least twice a week) for resolution of Doubts**

**Live Online Doubts Sessions with Expert Faculty (at least twice a week) for resolution of Doubts**

**►****Online Discussion Forum to Post Your Queries to Discuss with Faculty & other fellow Students**

**Online Discussion Forum to Post Your Queries to Discuss with Faculty & other fellow Students****►****Mock Tests at the Website for regular assessment and progress tracking**

**Mock Tests at the Website for regular assessment and progress tracking****►****Video Lectures Cover Theory Portions Exhaustively + Complete Solutions of Back Questions of Readings + Solutions of Previous Years Papers + Large Number of Numericals**

**Video Lectures Cover Theory Portions Exhaustively + Complete Solutions of Back Questions of Readings + Solutions of Previous Years Papers + Large Number of Numericals****►****Comprehensive Coverage of Syllabus and Exam Oriented Preperation**

**Comprehensive 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.**

**Demo PDF Notes**

**Click here for Demo PDF of Study Material**

**Click here for Demo PDF of Study Material****For Complete PDF Notes of Introductory Statistics for Economics **

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**Demo Quiz**

**For Complete Mock Test Series of Introductory Statistics for Economics, You need to subscribe our course.**

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**Recommended Readings**

**►****Devore, J. (2012). Probability and Statistics for Engineers, 8th ed. Cengage Learning**

**Exam Pattern**

**The End Semester Question Paper will be of 90 Marks**

**► 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.**

**► 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.**

**► 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.**

**► In the question paper, if tables are to be provided, they should be done using Devore.**

**Demo Lectures for Introductory Statistics for Economics**

**Demo Lectures for Introductory Statistics for Economics****Course Introduction**

**Chapter 1 : Introduction & Overview**

**Chapter 4 : Probability**

**Previous Year Question Papers : PYQ’s**

**These Lectures are Only for Demo.**

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**Account Details**

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**392010100053871**

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**Course Content**** of Our ****Video Lectures**

**Course Content****of Our****Video Lectures****The Lectures are as per Latest Syllabus for Academic Session 2024 – 25**

**The Lectures are as per Latest Syllabus for Academic Session 2024 – 25****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**

**►Distinction between Population & Sample, Univariate Bivariate & Multivariate data, Descriptive & Inferential Statistics, Enumerative and Analytical Studies,**

**►Distinction between Population & Sample, Univariate Bivariate & Multivariate data, Descriptive & Inferential Statistics, Enumerative and Analytical Studies,**

**►Descriptive & Inferential Statistics,**

**►Descriptive & Inferential Statistics,**

**►Stem & Leaf Displays,**

**►Stem & Leaf Displays,**

**►Dotplots,**

**►Dotplots,**

**►Histogram**

**►Histogram**

**Chapter 2 : Measures of Location**

**Duration of Lectures : 250 Minutes**

**Based Upon J L Devore Chapter 1.3**

**Topics Covered**

**►Frequency Series,**

**►Frequency Series,**

**►Arithmetic Mean, Properties of Arithmetic Mean, Combined Mean, Corrected Mean,**

**►Arithmetic Mean, Properties of Arithmetic Mean, Combined Mean, Corrected Mean,**

**►Median,**

**►Median,**

**►Trimmed Median,**

**►Trimmed Median,**

**►Mode,**

**►Mode,**

**►Partition Values **

**►Partition Values**

**Chapter 3 : Measures of Variability**

**Duration of Lectures : 203 Minutes**

**Based Upon J L Devore Chapter 1.4**

**Topics Covered**

**►Absolute and Relative Measures of Dispersion,**

**►Absolute and Relative Measures of Dispersion,**

**►Range & Coefficient of Range,**

**►Range & Coefficient of Range,**

**►Quartile Deviation & Coefficient of Quartile Deviation,**

**►Quartile Deviation & Coefficient of Quartile Deviation,**

**►Mean Deviation & Coefficient of Mean Deviation,**

**►Mean Deviation & Coefficient of Mean Deviation,**

**►Standard Deviation, Variance & Coefficient of Variation,**

**►Standard Deviation, Variance & Coefficient of Variation,**

**►Sample & Population Standard Deviation,**

**►Sample & Population Standard Deviation,**

**►Properties of Standard Deviation, Combined Standard Deviation,**

**►Properties of Standard Deviation, Combined Standard Deviation,**

**►Fourth Spread & Outliers**

**►Fourth Spread & Outliers**

**Unit – 2 : Elementary Probability Theory**

**Chapter 4 : Probability**

**Duration of Lectures : 542 Minutes**

**Based Upon J L Devore Chapter 2**

**Topics Covered**

**►Sample Spaces and Events,**

**►Sample Spaces and Events,**

**►Properties of Probability,**

**►Properties of Probability,**

**►Use of Permutations,**

**►Use of Permutations,**

**►Use of Combinations,**

**►Use of Combinations,**

**►Addition Theorem,**

**►Addition Theorem,**

**►Conditional Probability,**

**►Conditional Probability,**

**►The Multiplication Rule & Independent Events,**

**►The Multiplication Rule & Independent Events,**

**►Sampling with & without replacements,**

**►Sampling with & without replacements,**

**►Law of Total Probability, Baye’s Theorem,**

**►Law of Total Probability, Baye’s Theorem,**

**►Mathematical Expectation**

**►Mathematical 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**

**►Random Variables, Discrete & Continuous Random Variables,**

**►Random Variables, Discrete & Continuous Random Variables,**

**►Probability Distribution for Discrete Random Variables,**

**►Probability Distribution for Discrete Random Variables,**

**►The Probability Mass Function (PMF), The Cumulative Distribution Function,**

**►The Probability Mass Function (PMF), The Cumulative Distribution Function,**

**►Expected Values & Variance of a Discrete Random Variable,**

**►Expected Values & Variance of a Discrete Random Variable,**

**►Properties of Expected Values & Variance of a Discrete Random Variable**

**►Properties 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**

**►Probability Distribution for Continuous Random Variables,**

**►Probability Distribution for Continuous Random Variables,**

**►The Probability Density Function (PDF), The Cumulative Distribution Function,**

**►The Probability Density Function (PDF), The Cumulative Distribution Function,**

**►The Percentiles of a Continuous Distribution,**

**►The Percentiles of a Continuous Distribution,**

**►Expected Values & Variance of a Continuous Random Variable,**

**►Expected Values & Variance of a Continuous Random Variable,**

**►Properties of Expected Values & Variance of a Continuous Random Variable**

**►Properties 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**

**►The Bernoulli Distribution, **

**►The Bernoulli Distribution,**

**►The Binomial Probability Distribution, Using Binomial Tables, **

**►The Binomial Probability Distribution, Using Binomial Tables,**

**►Mean & Variance of a Binomial Distribution,**

**►Mean & Variance of a Binomial Distribution,**

**►The Hypergeometric Distribution,**

**►The Hypergeometric Distribution,**

**►The Poisson Probability Distribution,**

**►The Poisson Probability Distribution,**

**►Mean & Variance of a Poisson Distribution, The Poisson Process**

**►Mean & 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**

**►The Uniform Distribution, **

**►The Uniform Distribution,**

**►The Normal Distribution,**

**►The Normal Distribution,**

**►The Standard Normal Distribution, Non Standard Normal Distribution,**

**►The Standard Normal Distribution, Non Standard Normal Distribution,**

**►Approximating Binomial Distribution,**

**►Approximating Binomial Distribution,**

**►The Percentiles of a Normal Distribution,**

**►The Percentiles of a Normal Distribution,**

**►The Exponential Distribution,**

**►The 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**

**►The Bivariate Distribution of Discrete Type, **

**►The Bivariate Distribution of Discrete Type,**

**►Joint Probability Mass Function, Marginal Probability Mass Function, **

**►Joint Probability Mass Function, Marginal Probability Mass Function,**

**►The Conditional Probability Mass Function,**

**►The Conditional Probability Mass Function,**

**►The Bivariate Distribution of Continuous Type, **

**►The Bivariate Distribution of Continuous Type,**

**►Joint Probability Density Function, Marginal Probability Density Function, **

**►Joint Probability Density Function, Marginal Probability Density Function,**

**►The Conditional Probability Density Function,**

**►The Conditional Probability Density Function,**

**►Expected Values, Covariance and Correlation **

**►Expected Values, Covariance and Correlation**