Building a probability distribution
- A discrete random variable is a number decided by chance.
- Examples: a die score, the number of heads, or how many red counters are drawn.
- A probability distribution lists every value the variable can take.
- Under each value, it gives the probability of that value.
- The whole table must add to .
Build the table; make it sum to 1
- Use for the random variable and for one value it can take.
- List all possible values of .
- Find each and put it directly under the matching value.
- Check .
- If a probability contains an unknown, the equation usually solves it.
- After solving, reject any value that makes a probability negative or bigger than 1.
Values across the top, probabilities under them, summing to 1. That Σp = 1 line both checks the table and solves an unknown.
Worked example
Start here: read a value straight off a finished table
For the probabilities are . The table is complete (they sum to 1), so just add the right cells: .
Worked example
Next rung: use Σp = 1 to find a constant
For the probabilities are . The one missing fact is : , so (all probabilities valid). Then .
Build the table from the outcomes themselves
- Sometimes the probabilities are not handed to you.
- List the equally likely outcomes first.
- Map each outcome to its value of .
- If several outcomes give the same , pool them into one probability.
Worked example
Two spinners: build from the grid
A fair 4-sided spinner (labelled 1, 2, 3, 4) is spun twice and the scores are added to give . A grid of the equally likely outcomes shows .
- Count how many of the 16 cells give each total: for .
- Each probability is that count over 16:
The total 5 sits in the middle because it has the most ways to happen, the classic triangular shape of a sum of two dice or spinners.
Worked example
Selection without replacement: count with combinations
Eight youths, one man and one woman want to board a bus with room for three. The driver picks 3 of the 10 at random; let be the number of youths chosen. Selecting (order does not matter) means combinations, over .
- Only two people are non-youths, so (you cannot avoid youths).
- Choose the youths and the rest separately, then divide by 120:
Worked example
Another selection table (smaller numbers)
A box has 3 red, 5 blue (8 total); draw 2 without replacement. With reds drawn and :
When a formula gives each probability
Worked example
Formula table: substitute, then Σp = 1 for the constant
, . , so the table is — give the exact fractions asked. (9709/52/M/J/23 Q1)
Worked example
Bigger formula table (exact fractions)
, . Sum the squares: .
- ; the table is .
- Then .
A common denominator (here 86) keeps every cell exact, which is what a “leave in fraction form” question wants.
When the constant comes out of a quadratic: reject invalid roots
Worked example
Two roots, one is impossible
with probabilities . Find , then .
- : , so .
- Factorise: or .
- Reject : it makes . So .
- .
- List every value can take.
- Each — count outcomes (combinations if selecting), or plug into the formula.
- Lay them under their ; pool repeated x values.
- Write the line (it scores); it also solves a single unknown.
| The question gives | Each P(X=x) by | Watch |
|---|---|---|
| a formula f(x) | substitute x; Σp=1 fixes the constant | give exact fractions |
| 'select n at random' | combinations ÷ ⁿCᵣ | without replacement → denominators shrink |
| a verbal die/coin rule | list outcomes, map to x, pool equal x's | don't drop a branch |
| table, 1 unknown | Σp = 1 | reject p<0 or p>1 |
| table, 2 unknowns | Σp = 1 AND E(X) | one equation can't fix two |
Examiner note
Common mistake
Common mistake
Two unknowns? You need two facts
Probs on with : , and ; solve . One equation can't pin two letters. (9709/52/O/N/23 Q1)