Probability | Elementary Principles

Wax mind to decipher logical reasoning from numbers

What you'll learn

Probability Basics: Definition, Universal Formula, Ways to Report, & Ways 2 measure

Conditional Probability

Tree Diagram

Types of Events

Basic Counting Techniques

Bayes’ Theorem

Requirements

Basic numerical fluency

Interest in eliminating your mathematical blindness

Description

The inspiration to learn the skill of probability comes while reading best minds of past and present times. For instance:If you don't get elementary probability into your repertoire.. you go through life like a one-legged man in an ass-kicking contest. –- Charlie MungerIt is remarkable that a science, which began with the consideration of games of chance, should be elevated to the rank of the most important subject of human knowledge. –- Pierre Simon LaplaceThe theory of probabilities and the theory of errors now constitute a formidable body of great mathematical interest and of great practical importance. –- R.S. WoodwardThe theory of probabilities is simply the Science of logic quantitatively treated. –- C.S. PEIRCEAfter organizing all my learnings, I have created a concise body of knowledge. The same I host formally so that not only I can revise the basics of probability with least amount of effort and time but also help other fellow learners who are inclined to learn this skill. Above all, it clears my thinking and provides me an opportunity to get feedback from fellow learners so that I can improve my thinking on an ongoing basis.I wish you all the energy and happy learning!!!

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Table of Content

Lecture 3 Terminologies

Lecture 4 Notations

Lecture 5 Probability Basics

Lecture 6 The Learning Tools

Section 2: Approaches to probability

Lecture 7 Approaches: Experimental (Empirical) | Theoretical (Classical/Exact) | Axiomatic

Section 3: Conditional Probability

Lecture 8 Conditional Probability: Concept, Definition, Significance, and Examples

Section 4: Multiplication rule of probability

Lecture 9 Multiplication rule of probability: Concept and Examples

Section 5: Types of Events

Lecture 10 Types of Events: 1- Non-Mutually Exclusive Event

Lecture 11 Types of Events: 2- Mutually Exclusive (disjoint) Event

Lecture 12 Types of Events: 3- Dependent (Conditional) Event

Lecture 13 Types of Events: 4- Independent Event and Summary for all events

Section 6: Tree Diagram

Lecture 14 Tree Diagram: Significance and Examples

Section 7: Bayes’ Theorem

Lecture 15 Bayes’ Theorem: Concept and Examples

Section 8: Basic counting techniques:

Lecture 16 Fundamental Principle of Counting

Lecture 17 Permutations

Lecture 18 Combinations

Section 9: Chao!!!

Lecture 19 Revert with your feedback

Anyone curious to improve their decision making skills