Idea: List the outcomes first
The sample space is the list of everything that can happen. Write it before any formula.
- Each item is an outcome
- Equally likely outcomes turn a chance into one fraction
- Most early mistakes come from a list that only looks fair
Formula: The counting rule
With n equally likely outcomes, k of them in the event, the chance is k over n.
Idea: Size the list stage by stage
Multiply the choices at each stage to count the whole list.
- dice: outcomes
- coins: sequences
- All dice even: outcomes
Example: A total of 10 with 2 dice
Roll a pair of fair dice. What is the chance that the total is ?
- Call the dice red and blue: ordered pairs
- Total : , ,
- Chance:
Common mistake: Listing totals, not outcomes
A pair of dice has totals, but they are not equally likely: has , has .
Instead Count ordered pairs. A mixed pair like happens in ways, a double only in .
Example: Exactly 2 heads in 4 tosses
Toss a fair coin times. What is the chance of exactly heads?
- The list: sequences
- Choose which tosses are heads:
- Chance:
Quick check: At least one 6
Roll fair dice. What is the chance that at least one shows a ?
Show the answer
Answer:
Pairs with a : of , the double counted once.
Idea: Averages come from the same list
An expected value is the average of a quantity over equally likely outcomes.
- One die:
- Totals of all pairs add to , so
- Same as : averages add die by die
Idea: Say it out loud
Name the sample space and its size first, and why its outcomes are equally likely.
- Say "ordered pairs" when you mean them
- List small counts, describe large ones by what you choose
- Check that the counts fill the list
Courses / Probability from first principles