Welcome to Prime Academy
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 : Rs. 7000
Fee Structure :
Single Device | Two Devices | |
---|---|---|
Single Subject | Rs. 7000 | Rs. 12,000 |
Two Subjects | Rs. 13,500 | Rs. 23,000 |
Three Subjects | Rs. 20,000 | Rs. 33,000 |
Four Subjects | Rs. 26,000 | Rs. 42,000 |
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
►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
►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
►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.
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
Demo Lectures
Course Introduction
Chapter 2 : Probability
Probability Lecture #1
Probability Lecture #2
Probability Lecture #3
Probability Lecture #4
These Lectures are Only for Demo.
For Complete Course Video Lectures You Need to Subscribe Our Course
Contact us at +91 9899192027 for details
Demo PDF of Study Material
Chapter-4-ProbabilityCourse Content of Our Video Lectures
Unit – I : Fundamental Statistics
Lecture Details
Number of Lectures 22 Lectures
Total Duration of Lectures 737 Minutes
Important Topics Covered
► Measures of Central Tendency.
► Measures of Dispersion. Skewness, Moments and Kurtosis.
► Karl Pearson’s Coefficient of Correlation, Spearman’s Rank Correlation
► Index Numbers Properties and Applications. Shifting and Splicing of Index numbers
Unit – II : Probability Theory – I
Lecture Details
Number of Lectures 9 Lectures
Total Duration of Lectures 543 Minutes
Important Topics Covered
► Permutations and Combinations. Sample Spaces. Axiomatic Approach
► Conditional Probability and Independence of Events.
► Law of Total Probability, Baye’s Theorem and Applications.
Unit – III : Probability Theory – II
Lecture Details
Number of Lectures 15 Lectures
Total Duration of Lectures 655 Minutes
Important Topics Covered
► Discrete and Continuous Random Variables.
► Probability Mass Function. Probability Density Function
► Expectations of Random Variables
Unit – IV : Probability Theory – III
Lecture Details
Number of Lectures 5 Lectures
Total Duration of Lectures 223 Minutes