2. probability theory - axiom of probability theory

【README】

This article summarizes from 《 Basic course of probability theory 》 by M.Ross , Wall crack recommendation ;

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【2.2】 Sample space and events

1） sample space

• A collection of all possible results , It is called the sample space of the experiment , Write it down as S;

2） event （ A collection , Or a subset of the sample space ）

• Any subset of the sample space E It's called an event ; Or a set of several results selected from the sample space E;
• If the test results are included in the event E Inside , Then say events E It happened. ;

3） Events and communication with

The same sample space S Any two events of E,F;

Define a new event E∪F, It consists of the following results ： These results are in the E in , Or in the F in , Or existing E It's also in F in ;

• event E∪F： It's called an event E And events F And ;
• event E∩F Or event EF： It's called an event E And events F Of ;
• if EF=∅, said event E And events F Are incompatible ;

4）n The Union and intersection of events

5） event E To mend

 
6） Event pack