• Post category:StudyBullet-3
  • Reading time:8 mins read


Learn everything fast through concise yet contented lectures

What you will learn

representation and characterisation of data

elementary probability theory

combinatorics

rules for computing probabilities

conditional probability and independence of events

discrete random variables and their probability distributions

expectation value of a discrete random variable

examples of discrete random variables

moment generating functions

continuous random variables and their probability distributions

expectation value of a continuous random variable

examples of continuous random variables

Chebyshev’s theorem

bivariate probability distributions

expectations of functions of random variables

covariance

independent random variables

sums of independent random variables

hypothesis testing

Description

I know, Probability and Statistics is difficult. But is there a way to make it easy? Of course. I for one managed that.

I know a lot of people struggle with it; a very small group of people are good at it. Back in university, I was in that bigger group, the group that struggled through Probability and Statistics lecture. I needed help; I couldn’t understand a thing, but I finally found help and turned my exam result around. I guess since you’re looking at this, you need help too.

This 6-hour COMPLETE GUIDE course contains everything you need to know to get started with Probability and Statistics. It’s packed with videos that have been categorised into different topics, hence easy for you to learn.

I’ve included lots of definitions, theorems, quizzes, examples, concise notes for EVERY single section, exercises, and a walkthrough of all the exercise sheets. Most importantly, I’ve done a BONUS section for you! It includes some additional questions that will strengthen your skill even more.

With this basic Probability and Statistics course, you will have a good core understanding to pursue many more difficult Mathematics topic. In this course, everything has been broken down into a simple structure to make learning and understanding easy for you.

This COMPLETEΒ guide is for those of you are looking to get a full understanding of the basics; the important parts. You’ve already shown half of your determination by looking at the course, so if this course sounds right for you, boost your eagerness to learn and join me on this journey!


Get Instant Notification of New Courses on our Telegram channel.


Tips:

1) It will be very useful if you also take notes of your own as you’re watching the lectures, it will help you understand everything better and quicker. Just pause if I move on to other topics too fast or if you haven’t fully understood the previous sub-topic before you move on to the next parts.

2) Please ask any questions you may have in the Q&A section if you don’t understand. It’s one thing to not understand it, but it’s a whole new experience and a very important thing to do when learning Maths to be able to discuss it with fellow students who are going through the same thing.

3) Use headphones for better sound. (I suggest you turn the volume up)

4) Don’t forget you can always slow down or speed up the video!

English
language

Content

Introduction
Introduction
Probability and Statistics I – Time To Learn!
Representation and Characterisation of Data
Elementary Probability Theory
Combinatorics
Some More Combinatorics
Rules for Computing Probabilities
Conditional Probability and Independence of Events Pt.1
Conditional Probability and Independence of Events Pt.2
Discrete Random Variables and Their Probability Distributions
Expectation Value of a Discrete Random Variable Pt.1
Expectation Value of a Discrete Random Variable Pt.2
Moment Generating Functions
Continuous Random Variables and Their Probability Distributions
Expectation Value of a Continuous Random Variable
Examples of Continuous Random Variables Pt.1
Examples of Continuous Random Variables Pt.2
Chebyshev’s Theorem
Bivariate Probability Distributions
Expectations of Functions of Random Variables
Covariance
Independent Random Variables
Sums of Independent Random Variables
Hypothesis Testing
Exercises and Solutions
Solutions 1
Solutions 2
Solutions 3
Solutions 4
Solutions 5
Solutions 6 Part I
Solutions 6 Part II
Solutions 7 Part I
Solutions 7 Part II
Solutions 7 Part III
Solutions 8
Quizzes!
Quiz 1
Quiz 2
Quiz 3
BONUS!!!
Extra Questions