Axiomatic Approach To Probability
Chapter Name : Probability |
Sub Topic Code : 104_11_16_04_01 |
Topic Name : Axiomatic Approach To Probability |
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Sub Topic Name : Axiomatic Approach To Probability |
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Introduction
Axiomatic approach is a way to define probability; it is based on axioms (assumptions) which build up the theory.
Pre-Requisites:
Basics about chance, coin and card logics
Activity:
Observe how tossing a coin can show either heads or tails for sure but not both of them at the same time.
Real Life Question:
How does axiomatic approach help in deciding chances of a successful outcome in a game of cards?
Key Words / FlashCards
| Key Words | Definitions (pref. in our own words) |
|---|---|
| Event | Outcome(s) of an experiment. |
| Mutually exclusive events | Events that cannot happen simultaneously have no outcome in common. |
| Sample space | All the possible outcomes make up the sample space. |
Learning aids / Gadgets
| Gadgets | How it can be used |
|---|---|
| Coin | Flipping a coin to record the result. |
Real life uses :
Use in finding probability of winning a game of lottery.
Practical examples around us
| Examples | Explainations |
|---|---|
| Obtaining a head or a tail by tossing a coin | You can be sure a coin when tossed would give one of the two results because there exist no other possibilities in its sample space. |
What you learn in Theory:
Axiomatic approach to probability.
What you learn in Practice:
To use the axiomatic approach to know about probability of different events.