Year 11 Probability Flashcards
P(Event)
P(Event) = matching outcomes / total possible outcomes
Example:
P(Tails) = 1 / 2
P(rolling a 6) = 1 / 6
Theoretical probability
When we know the underlying probability of an event
Experimental probability
Probability based on observing counts
AKA relative frequency
A spinner has letters ABC on it.
It is spun 50 times and A comes up 12 times
Find experimental probability for P(A)
12 / 50 = 0.24
Examples of sample spaces
Throwing a 6
Throwing an odd number
Tossing a heads
Picking a red counter
Sample space
Set of all outcomes
Ɛ symbol represents the sample space
Ɛ CARD TO BE CONTINUED
A fair coin is thrown and lands on heads twice. What is the probability of a head on the third throw?
1 / 2 because each throw is an independent event
Given that all three balls drawn are the same colour, find the probability that they are all red
P(all red | all the same colour)
= P(all red) / P(all 3 same colour)
= P(R, R, R) / P(R, R, R) + P(Y, Y, Y)
Mutually exclusive events
Events that cannot happen at the same time
P(A or B) = P(A) + P(B)
Independent events
The outcome of an event does not affect the outcome of the next event
P(A and B) = P(A) x P(B)
And and or in probability
A and B = A x B
A or B = A + B
How to fill Venn diagrams that have 3 circles
Start the section that has the most overlaps
Then next sections that have the most overlaps, MAKE SURE TO SUBTRACT THE MIDDLE OVERLAP NUMBER FROM THESE NUMBERS. If the number to subtract is too big don’t subtract it
Continue the process