Completing and using a distribution
A finished distribution is a compact probability model. Use its total to find constants, then add the cells named by an event.
One distribution, two views
1/4 + 1/2 + 1/4 = 1 ✓
Substitute every possible value first
If for , then is one fixed constant used in every cell. (9709/51/O/N/24 Q2)
- Substitute the five values to get .
- Use : , so .
- Put the numerical probabilities into the table.
| x | P(X = x) |
|---|---|
| −2 | 6/28 |
| −1 | 3/28 |
| 0 | 2/28 |
| 2 | 6/28 |
| 3 | 11/28 |
| x | −2 | −1 | 0 | 2 | 3 |
|---|---|---|---|---|---|
| P(X = x) | 6/28 | 3/28 | 2/28 | 6/28 | 11/28 |
If a question says probabilities are proportional to , write and find in the same way.
A probability test chooses the valid root
Worked example
When the total gives a quadratic
For , suppose the probabilities are .
The equation solver is the quickest method here. It gives or . The second root makes some probabilities negative or greater than 1, so reject it.
If the roots are convenient, write the factorised line. If they are awkward, write the equation and both calculator roots, then test each root. The mathematical decision is the validity test.
Key idea
Translate the event, then add its cells
Use a table with probabilities 0.1, 0.2, 0.4 and 0.3 for .
- .
- .
- The modal value is 2 because it has the largest probability.
A conditional probability restricts the table first. For example,
Common mistake
For , . Find , and .
Show worked answer
The probabilities are , so .
Within , the total probability is , while has probability .
