Mathematics 9709/52 — May/June 2023
Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme
Topics Discrete Random Variables · Probability · Representation of Data · The Normal Distribution · Permutations and Combinations
The random variable takes the values , and . It is given that
where is a constant.
Draw up the probability distribution table for , giving the probabilities as numerical fractions.
Approach
For a probability distribution, the probabilities must sum to 1. Use this to find , then substitute , and into to obtain the probabilities.
Working
Since the total probability is 1:
Therefore:
Answer
k = 1/14; P(X = -2) = 3/14, P(X = 2) = 3/14, P(X = 3) = 4/7
Walkthrough
The key fact for any probability distribution is that the probabilities of all possible outcomes must add to . Here the probability formula is . Substitute the three values , and into the formula to get , and . Add these and set the sum equal to : , so and . Finally, replace in each expression to obtain the probabilities , and , which simplifies to . The table must list the outcomes , , with these probabilities.
Key Takeaways
A probability distribution table lists every possible value of the random variable with its probability. The probabilities must sum to , which is the equation used to find an unknown constant in a probability formula.
Common Mistakes
- Forgetting that the probabilities must sum to , so not forming .
- Substituting incorrectly, for example using instead of .
- Not simplifying to ; this is not wrong, but simplified fractions are usually preferred.
- Adding extra outcomes to the table without giving probability .
Things to Be Careful About
The mark scheme allows follow-through using a candidate's own . If is not calculated, a table with probabilities , , can still earn special credit. Also, the outcomes in the table must be exactly , and .
Find and .
Approach
Use for the expectation. For the variance, use , where . Use the probabilities from part (a).
Working
Next,
Therefore,
Answer
E(X) = 12/7, Var(X) = 192/49
Walkthrough
For expectation, use . Multiply each value of by its probability from part (a) and add:
For variance, use . First find :
Then subtract :
The final answers should be identified as expectation and variance.
Key Takeaways
Expectation is a weighted average using probabilities as weights. Variance measures spread and can be calculated as , which is often easier than summing squared deviations directly.
Common Mistakes
- Using as the variance without subtracting .
- Forgetting to square the negative value when calculating ; .
- Mixing up and .
- Not identifying which answer is and which is ; the mark scheme requires them to be identified.
Things to Be Careful About
The mark scheme allows follow-through from part (a) using the candidate's table, provided the probabilities are valid. If the final answers are correct but not identified, the final accuracy mark may be lost. If the final accuracy mark is not earned, a special case mark is available for identified correct final answers.
The rest of this paper
5 more questions- Q2Probability6M
- Q3Representation of Data7M
- Q4Discrete Random Variables · Probability9M
- Q5The Normal Distribution12M
- Q6Permutations and Combinations10M