1. Bell Ringer Solve and combine like terms when possible.
7d + 3(d + 3) – d
8f2 – f(6 – f) + 10f + 12(f + 3)

2. Probability
Mr. Haupt
CC E.1

3. Probability
The probability of an event tells you how likely it is that something will occur.
It is written like this: P(event)
So, the probability of getting tails when flipping a coin would be written as P(tails)

4. Outcome The outcome is the result of a single trial.
As in the roll of a dice, the flip of a coin, one pick out of a bag of marbles, etc.
Favorable outcome – the outcome we want to happen. If we want to roll a 4 on a dice, then that is our favorable outcome.

5. Sample Space
The list of all possible outcomes is called the sample space.
If we are talking about rolling a dice, the sample space would be 1,2,3,4,5,6

6. Event
An event is any outcome or group of outcomes.

7. Example of how this works.
Say we would want to find the probability of rolling an even number on a dice.
Event – Rolling an even number.
Sample Space – 1,2,3,4,5,6
Favorable Outcome – 2,4,6
We will use this information to find the theoretical probability.

8. Theoretical Probability
The theoretical probability in the easiest terms is: what SHOULD happen.
We can find the theoretical probability with this formula:
P(event) = number of favorable outcomes
number of possible outcomes
The theoretical probability of getting tails on a coin flip is .5 or 50%
This does not mean that these will be your actual results.

9. Theoretical Probability Continued
The probability of an event can be written as a fraction, a decimal, or a percent. In terms of decimals, the range goes from 0 to 1.
Impossible Equally Likely Certain
Event as not Event
Ex: Rolling a Getting tails Rolling less than
7 on a dice when flipping coin on a dice

10. Complement of an Event
The complement of an event is all the outcomes not included in the original event.
So if we go back to rolling a dice, the possible outcomes are 1,2,3,4,5,6. If we look at rolling an even number 2,4,6, then the complement to that event would be all the odd numbers 1,3,5.

11. Odds
Sometimes we see probability in the form of odds, especially in sports, gambling, etc.
We use odds to compare favorable and unfavorable outcomes.
The odds of flipping tails are 1 to 1, or 50/50.
The odds of the Eagles winning the Super Bowl are 1 million to 1. (Actually it is 20 to 1 according to Vegas, but believe me, it ain’t happening.)

12. Experimental Probability
Experimental probability is what you actually get when you perform the trials.
We use the following formula to find it:
P(event) = number of times the event occurs
number of times the experiment is done
The theoretical probability of getting heads is 50%, but let’s say you try it 20 times and get 12 heads and 8 tails, your experimental probability is 60%.