1) Probability is defined as the ratio between a confirmed event and a possible event, but this definition has limitations as it assumes all outcomes are equally likely and that the number of possible outcomes is fixed. 2) Events can be categorized on a scale from impossible to sure based on their probability, and can be either independent, where the probability of one event does not impact another, or dependent, where probabilities are related. 3) Examples of independent events include randomly picking cards or marbles, while dependent events could involve picking multiple cards from the same deck where the first pick impacts the probability of subsequent picks.

1. PROBABILITY
COTRONEO ALESSIA, NOTARANGELO CHIARA, GALLO GIOVANNI, FILICE
DAVIDE

2. PROBABILITY
 PROBABILITY is the ratio between a confirmed event and a possible event
 But this definition has got two disadvantages
All the events must have the same
probability of happening
It presumes a finished number of
possible cases

3. EVENTS CATEGORISATION
0
impossible event
1/2 1
Sure event
Less probable
event
Very probable
event

4. Independent events
dependent Events
EVENTS
When the happening of one event
does not modify the probability of
the other event
When the happening of one event
modifies the probability of the
other event
EXAMPLES OF …
INDEPENDENT EVENTS
 Probability of picking a king from a deck of
cards
 Probability of picking a blue marble inside
a bag full of marbles
DEPENDENT EVENTS
 Probability of picking a king from a
deck of cards
 Probability of picking an ace from the
same deck

5. THE THREE DOORS GAME