1. Probability
Probabilities should always compliment 1!!!!!!
e.g. If the probability that Paul will be on time for school is 0.85, find the probability that he will be late for school.
P(Late) = 1 – 0.85 = 0.15

2. e.g. The table below shows the probability of each number on a six sided dice
Score 1 2 3 4 5 6
Prob
0.4
0.15
0.12 x
Find the probability of scoring a 6
= 0.94
So P(6) = 1 – 0.94 = 0.06
Is the dice fair?
No, it is biased against the six.
How many sixes would you expect to score if you threw the dice 200 times?
Number of Outcomes = Probability x Number of Trails
0.06 x 2000 = 120

3. The table below shows the probabilities of the outcomes of PSG’s next match.
Result
Win
Draw
Lose
Prob
0.6
0.25 x
Calculate the probability that PSG will lose their next match
In a season of 30 matches, how many would you expect PSG to win?
= 0.85
P(Lose) = 1 – 0.85 = 0.15
0.6 x 60 = 18 matches

4. Score 1 2 3 4
Prob
0.4
0.3 x
Calculate the probability of scoring a 3
1 – 0.7 = 0.3
0.3 ÷ 2 = 0.15