- Understand terminology related to probability.
- Use probability notation.
- Find and interpret probabilities for equally likely events.
Probability is the science of uncertainty.
The probability of an event is the proportion of times it would occur if the experiment were run infinitely many times.
For a collection of equally likely events, this looks like: \[ \text{probability of event} = \frac{\text{number of ways event can occur}}{\text{number of possible outcomes}} \]
An event is some specified possible outcome (or collection of outcomes) we are interested in observing.
You want to roll a 6 on a six-sided die.
We can extend this to a collection of events.
The collection of all possible outcomes is called a sample space, denoted \(S\).
To simplify our writing, we use probability notation:
We can estimate probabilities from a sample using a frequency distribution.
Example: Consider the frequency distribution.
Class | Frequency |
---|---|
freshman | 12 |
sophomore | 10 |
junior | 3 |
senior | 5 |
Class | Frequency |
---|---|
freshman | 12 |
sophomore | 10 |
junior | 3 |
senior | 5 |
If a student is selected at random, the probability of selecting a sophomore is \[\frac{10 \text{ sophomores }}{30 \text{ students}} \approx 0.3333\]
Class | Frequency |
---|---|
freshman | 12 |
sophomore | 10 |
junior | 3 |
senior | 5 |
The probability of selecting a junior or a senior is \[\frac{3\text{ juniors }+5\text{ seniors }}{30\text{ students }} = \frac{8}{30} \approx 0.2667\]
Class | Frequency |
---|---|
freshman | 12 |
sophomore | 10 |
junior | 3 |
senior | 5 |
Using probability notation, let \(A\) be the event we selected a junior and \(B\) be the event we selected a senior. Then \[P(A \text{ or } B) = \frac{8}{30} \approx 0.2667\]
Section 4.1 exercises 1 and 2