Mathematics 9709/51 — October/November 2022
Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme
Topics Discrete Random Variables · The Normal Distribution · Representation of Data · Probability · Permutations and Combinations
The probability distribution table for a random variable is shown below.
| 1 | 2 | ||||
|---|---|---|---|---|---|
| 0.12 | 0.16 | 0.3 |
Given that , find the value of and the value of .
Approach
Since is a discrete random variable, the probabilities must sum to , and the expectation is the sum of each value multiplied by its probability. This gives two linear equations in and , which can be solved simultaneously.
Working
Sum of probabilities:
Expectation:
Simplify the constant terms:
Now solve the two equations:
From the first equation, . Substitute into the second equation:
Then
Answer
p = 0.3, q = 0.12
Walkthrough
We are given a probability distribution table for a discrete random variable , with two unknown probabilities and . There are two standard facts we can use to find them.
First, the probabilities in any probability distribution must add up to . This gives the equation
which simplifies to .
Second, the expectation is defined as
We substitute each value of and its probability, using and for the unknown probabilities. This gives
After simplifying the constant terms, we obtain
Now we have two linear equations in and . We solve them simultaneously. From , we can write and substitute into the second equation. This gives a single equation in :
which simplifies to , so . Substituting back gives .
Key Takeaways
- For any discrete probability distribution, the sum of all probabilities is always .
- The expectation formula is the key tool for using a given mean to find unknown probabilities.
- Two unknown probabilities require two independent equations: one from the total probability and one from the expectation.
- Solving simultaneous linear equations is a core algebraic skill needed in probability and statistics.
Common Mistakes
- Forgetting to include all probabilities in the sum-to-1 equation, or incorrectly adding the constants.
- Making sign errors when computing , especially with negative values of .
- Using the wrong signs when simplifying .
- Not simplifying the expectation equation before attempting to solve, leading to arithmetic errors.
- Stopping after finding only one of the two unknowns.
Things to Be Careful About
- The mark scheme awards marks for forming both equations: the sum-of-probabilities equation and the expectation equation. You must show both clearly.
- The expectation equation may be left unsimplified and still earn the method mark, but simplifying helps avoid mistakes.
- When solving, be careful with decimal arithmetic. Multiplying the equations by 10 or 2 can make the algebra easier.
- Always check that the final values are sensible: probabilities must lie between and , and they should satisfy both original equations.
The rest of this paper
5 more questions- Q2Discrete Random Variables · The Normal Distribution8M
- Q3Representation of Data9M
- Q4The Normal Distribution9M
- Q5Probability10M
- Q6Permutations and Combinations10M