Event
Chapter Name : Probability |
Sub Topic Code : 104_11_16_03_03 |
Topic Name : Event |
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Sub Topic Name : Types Of Event |
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Introduction
While tossing a dice, a number of outcomes are there. So, different events may exist depending upon the conditions given for the occurrence of an event.
Pre-Requisites:
Idea about probability, sample space and event.
Activity:
In an experiment of tossing two coins, find the probability that head appears on both the coins.
Real Life Question:
While throwing a dice numbered {1, 2, 3, 4, 5, 6} what is the probability that the outcome is 7?
Key Words / FlashCards
| Key Words | Definitions (pref. in our own words) |
|---|---|
| Impossible & Sure Events | The empty set ? is an impossible event and the sample space S is called the sure event. P(?) = 0 and P(S) = 1 |
| Simple Event | If an event E has only one sample point of a sample space, it is called a simple event. |
| Compound Event | It the event has more than one sample point, it is called a Compound Event. |
Learning aids / Gadgets
| Gadgets | How it can be used |
|---|
Real life uses :
Uses include the law of large numbers and in continuity of Brownian paths.
Practical examples around us
| Examples | Explainations |
|---|---|
| Brownian motion | Brownian motion is the presumably random moving of particles suspended in a fluid (a liquid or a gas) resulting from their bombardment by the fast-moving atoms or molecules in the gas or liquid. |
What you learn in Theory:
What are the different types of events?
What you learn in Practice:
How to find the probability of different types of events?