When we try to solve the probability of compound events examples, we are aiming to work out the probability of 2 events occurring, instead of just 1 event.

These 2 events can be either “mutually exclusive”, or “mutually inclusive”.

### Mutually Exclusive Events

When events as classed as mutually exclusive, they are events that can’t occur at the same time.

For example if you were flipping a coin you can get either a  ”Head”  or a  ”Tails”,  you can’t get both a  Head  and a  Tail  on one flip of a coin.

A  Head  and a  Tail  occurring on a coin flip are mutually exclusive events.

When you have  2  mutually exclusive events  A  and  B,  the probability of either occurring can be worked out in the following way.

**P**(

**A**or

**B**)   =  

**P**(

**A**) +

**P**(

**B**)

__Examples    __

*(1.1) *On rolling of a fair dice, what is the probability of rolling a  1 

__or__a  4?

*Solution*   **P**(

**1**)  =  \bf{\frac{1}{6}}   ,  

**P**(

**4**)  =  \bf{\frac{1}{6}}

**P**(

**1**or

**4**)  =  \bf{\frac{1}{6}} + \bf{\frac{1}{6}}   =   \bf{\frac{2}{6}}   =   \bf{\frac{1}{3}}

The probability of landing either a  1  or a  4  on one dice roll is  \bf{\frac{1}{3}}.

*(1.2) *A bag of golf balls has  14  balls inside numbered from  1  to  14.

What is the probability of randomly selecting a golf ball from the bag that has a number less than  5 

__or__higher than  11?

*Solution*   **P**(

**less than 5**)  =  \bf{\frac{4}{14}}

**P**(

**higher than 11**)  =  \bf{\frac{3}{14}}

**P**(

**less than 5** 

__or__ 

**higher than 11**)  =  \bf{\frac{4}{14}} + \bf{\frac{3}{14}}   =   \bf{\frac{7}{14}}   =   \bf{\frac{1}{2}}

The probability of picking out a golf ball which is numbered either less than  5  or higher than  11  is  \bf{\frac{1}{2}}.

## Probability of Compound Events Examples,

Mutually Inclusive Events

With probability of compound events examples,  “mutually inclusive events”  are events that *can* occur at the same time as each other.

If we recall the bag of numbered golf balls from example  (1.2)  again.

We can consider the probability of picking out a ball numbered less than  8,  or a ball specifically numbered  4.

These events could both occur at the same time, as a golf ball numbered  4,  is also a golf ball that is numbered less than  8.

They are mutually inclusive events.

Establishing the probability of compound events cases such as this, involves the formula from before seen above, but with a slight alteration.

**P**(

**A**or

**B**)  = 

**P**(

**A**) +

**P**(

**B**)  − 

**P**(

**A**and

**B**)

### Golf ball either numbered 4 or less than 8:

For the probability of picking out a golf ball that is either a number  4  or a number less than an  8 .

**P**( **4** )  =  \bf{\frac{1}{14}}   ,   **P**( **less than 8** )  =  \bf{\frac{7}{14}}

**P**( **4**   AND   less than 8 )   =   **P**( **4** ) × **P**( **4**  |  less than **8** )   =   \bf{\frac{1}{14}} × 1   =   \bf{\frac{1}{14}}

Now to work out the probability of picking out a golf ball that is either a  4  or less than an  8?

**P**( **4**  __or__  less than **8** )   =   **P**( **4** ) + **P**( less than **8** )  −  **P**( **4**  AND  less than **8** )

=>    **P**( **4** __or__ less than **7** )   =   \bf{\frac{1}{14}} + \bf{\frac{7}{14}} − \bf{\frac{1}{14}}   =   \bf{\frac{7}{14}}   =   \bf{\frac{1}{2}}

__Example    __

*(2.1) *

With a deck of  52  playing cards, what is the probability of picking out at random either a  SPADE  or an  ACE  card?

*Solution*   

**P**( SPADE  __or__  ACE )   =   **P**( SPADE ) + **P**( ACE )  −  **P**( SPADE  and  ACE )

**P**( SPADE )   =   \bf{\frac{13}{52}}     ,     **P**( ACE )   =   \bf{\frac{4}{52}}   =   \bf{\frac{1}{13}}

**P**( SPADE  |  ACE )  =  \bf{\frac{1}{4}}

**P**( SPADE  and  ACE )   =   **P**( ACE )  ×  **P**( SPADE  |  ACE )   =   \bf{\frac{1}{13}} × \bf{\frac{1}{4}}   =   \bf{\frac{1}{52}}

**P**( SPADE  or  ACE )   =   \bf{\frac{13}{52}} + \bf{\frac{4}{52}}  −  \bf{\frac{1}{52}}   =   \bf{\frac{16}{52}}

The probability of picking out at random a  SPADE  card or an  ACE  card is  {\frac{16}{52}}.

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