**Welcome to Prime Academy Delhi**

**Course Fee : Rs. 7000**

**Access of Video Lectures is provided on one device, Windows Computer or Android Phone, till end of Semester I 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 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 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 Lectures****Probability Lecture #1**

**Probability Lecture #2**

**Probability Lecture #3**

**Probability Lecture #4**

**Demo PDF of Study Material**

Chapter-4-Probability

**Demo PDF of Study Material**** Course Content of Our ****Video Lectures**

**Course 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 Central Tendency.** ****►** Measures of Dispersion. Skewness, Moments and Kurtosis.

**►**Measures of Dispersion. Skewness, Moments and Kurtosis.

** ****►** Karl Pearson’s Coefficient of Correlation, Spearman’s Rank Correlation

**►**Karl Pearson’s Coefficient of Correlation, Spearman’s Rank Correlation

** ****►** Index Numbers Properties and Applications. Shifting and Splicing of Index numbers

**►**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**

**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.

**►**Discrete and Continuous Random Variables.** ****►** Probability Mass Function. Probability Density Function

**►**Probability Mass Function. Probability Density Function

** ****►** Expectations of Random Variables

**►**Expectations of Random Variables

**Unit – IV : ****Probability Theory – III**

**Probability Theory – III**

**Lecture Details**

**Number of Lectures 5 Lectures**

**Total Duration of Lectures 223 Minutes**

**Important Topics Covered**

** ****►** Bivariate Distributions. Joint Density Functions.

**Bivariate Distributions. Joint Density Functions.****►**** ****►** Marginal & Conditional Distributions.

**Marginal & Conditional Distributions.**

**►**** ****►** Expectation, Variance, Covariance and Correlation.

**Expectation, Variance, Covariance and Correlation.**

**►****Demo Test**

**Demo Test****Syllabus as Prescribed by GGS IPU**

**Syllabus as Prescribed by GGS IPU**